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  • Kilic, Talip  (44)
  • Washington, D.C : The World Bank  (44)
  • Hoboken : Taylor and Francis
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  • 1
    Online Resource
    Online Resource
    Are Unit Values Reliable Proxies for Prices? : Implications of Better Price Data for Household Consumption Measurement in a Low-Income Context (2024)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (52 pages)
    Parallel Title: Erscheint auch als Alimi, Omoniyi Babatunde Are Unit Values Reliable Proxies for Prices? Implications of Better Price Data for Household Consumption Measurement in a Low-Income Context
    Keywords: Commodity Group Price ; Household Consumption And Expenditure ; Household Survey ; Macroeconomics and Economic Growth ; Nominal Consumption Aggregate ; Poverty Line ; Poverty Monitoring and Analysis ; Poverty Reduction ; Separability Assumption ; Unit Values
    Abstract: Household Consumption and Expenditure Surveys are key to consumption-based monetary poverty measurement. In the absence of market price surveys that are linked to Household Consumption and Expenditure Surveys, unit values are used as proxies for market prices in estimating nominal consumption aggregates, price deflators, poverty lines, and poverty statistics. This practice relies on the Hicksian separability assumption: within-commodity group relative prices are constant across space and the price of a single good is an accurate proxy for the commodity group price. To test, for the first time in a low-income context, whether Hicksian separability holds, this paper uses the price data collected for an extensive list of food items, including several variety/quality-differentiated products for specific items, in a national market survey that was conducted in Malawi in sync with the Household Consumption and Expenditure Survey that is the source of official poverty statistics. The analysis demonstrates that Hicksian separability fails to hold across space and time and that unit values are biased proxies for prices. Integrating the Household Consumption and Expenditure Survey and market survey data based on location and timing of fieldwork permits an assessment of consumption and poverty estimation based on market prices versus unit values. Relative to unit values, using market prices leads to higher food and overall consumption expenditures--both in nominal and real terms--while generating higher poverty lines and higher food and overall poverty rates. Compared to their counterparts based on unit values, spatially-disaggregated poverty estimates based on market prices exhibit a stronger correlation with nightlights --an objective proxy for living standards
    DOI: 10.1596/1813-9450-10698
    URL: Deutschlandweit zugänglich
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Breadwinners and Caregivers : Examining the Global Relationship between Gender Norms and Economic Behavior (2024)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (70 pages)
    Parallel Title: Erscheint auch als Gonzalez Martinez, Paula Lorena Breadwinners and Caregivers: Examining the Global Relationship between Gender Norms and Economic Behavior
    Keywords: Division of Labor ; Gender ; Gender and Employment ; Gender Gap ; Gender Gap in The Workforce ; Gender Informatics ; Gender Monitoring and Evaluation ; Household Maintenance
    Abstract: Gender norms are often emphasized to help explain gender gaps in the labor market. This paper examines global patterns of gender attitudes and norms toward the stereotypical gender roles of the male breadwinner and female caregiver, and broad support for gender equality in opportunities, and studies their relationship with economic behavior. Using data collected via Facebook from 150,000 individuals across 111 countries the paper explores how gender beliefs and norms are related to labor supply, household production, and intrahousehold decision-making power within a country. The paper provides descriptive evidence that the more gender equitable or counter-stereotypical are beliefs and norms, the more likely women are to work, the more time men spend on household chores, and the higher the likelihood of joint decision-making among couples. The findings suggest an underestimation of the support for gender equality globally and the extent of underestimation varies by gender and region. The paper concludes with a discussion of potential entry points for policy to help address gender norms
    DOI: 10.1596/1813-9450-10692
    URL: Deutschlandweit zugänglich
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  • 3
    Online Resource
    Online Resource
    Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost : Evidence from a Randomized Survey Experiment (2024)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (78 pages)
    Parallel Title: Erscheint auch als Dang, Hai-Anh Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost: Evidence from a Randomized Survey Experiment
    Keywords: Consumption ; Household Surveys ; Information and Communication Technologies ; Macroeconomics and Economic Growth ; Poverty ; Poverty Diagnostics ; Poverty Reduction ; Survey-To-Survey Imputation
    Abstract: Survey data on household consumption are often unavailable or incomparable over time in many low- and middle-income countries. Based on a unique randomized survey experiment implemented in Tanzania, this study offers new and rigorous evidence demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates. Basic imputation models featuring utility expenditures, together with a modest set of predictors on demographics, employment, household assets, and housing, yield accurate predictions. Imputation accuracy is robust to varying the survey questionnaire length, the choice of base surveys for estimating the imputation model, different poverty lines, and alternative (quarterly or monthly) Consumer Price Index deflators. The proposed approach to imputation also performs better than multiple imputation and a range of machine learning techniques. In the case of a target survey with modified (shortened or aggregated) food or non-food consumption modules, imputation models including food or non-food consumption as predictors do well only if the distributions of the predictors are standardized vis-a-vis the base survey. For the best-performing models to reach acceptable levels of accuracy, the minimum required sample size should be 1,000 for both the base and target surveys. The discussion expands on the implications of the findings for the design of future surveys
    DOI: 10.1596/1813-9450-10738
    URL: Deutschlandweit zugänglich
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  • 4
    Online Resource
    Online Resource
    Recording the Time Divide : A Comparative Study of Smartphone- and Recall-Based Approaches to Time Use Measurement (2024)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (47 pages)
    Parallel Title: Erscheint auch als Kilic, Talip Recording the Time Divide: A Comparative Study of Smartphone- and Recall-Based Approaches to Time Use Measurement
    Keywords: Cellular Phones ; Commercial Recall ; Consumption ; Household Survey ; Macroeconomics and Economic Growth ; Telecommunications ; Usage Monitoring
    Abstract: Based on a randomized survey experiment in Malawi, this study examines how innovative techniques in time use data collection could sidestep measurement concerns with traditional recall-based time use measurement. The experiment assigns random samples of households, and adult men and women within, to one of two treatment arms on time use measurement: a traditional 24-hour recall time use diary, and a self-administered smartphone-based pictorial time diary, known as the TimeTracker app, for real-time data collection. Compared to the recall arm, participation in employment and unpaid domestic and care work is shown to be higher in the smartphone arm for both men and women. The resulting estimates of gender gaps, while continuing to be large, are narrower in the smartphone arm, except for care work where the estimated gender gap increases. The recall treatment leads to substantial underreporting of activities after 6 pm, which otherwise accounts for nearly 30 percent of daily reported time in the smartphone arm. Likewise, the extent of simultaneous activities, particularly among women, is markedly lower in the recall arm. The overall reported time is, however, higher in the recall arm due to the minimum 15-minute duration that was used for recording activities the 24-hour recall diary, while over one-third of activities lasted less than 15 minutes in the smartphone arm. The analysis also shows that using stylized time use questions with a 7-day recall, as opposed to a 24-hour recall diary, results in an even greater overestimation of reported time in employment and unpaid work
    DOI: 10.1596/1813-9450-10695
    URL: Deutschlandweit zugänglich
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  • 5
    Online Resource
    Online Resource
    Using Paradata to Assess Respondent Burden and Interviewer Effects in Household Surveys : Evidence from Low- and Middle-Income Countries (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Hasanbasri, Ardina Using Paradata to Assess Respondent Burden and Interviewer Effects in Household Surveys: Evidence from Low- and Middle-Income Countries
    Keywords: Computer-Assisted Interviewing ; Household Surveys ; Interviewer Effects ; Paradata ; Poverty Reduction ; Respondent Burden ; Social Analysis ; Social Development ; Survey Methodology
    Abstract: Over the past decade, national statistical offices in low- and middle-income countries have increasingly transitioned to computer-assisted personal interviewing and computer-assisted telephone interviewing for the implementation of household surveys. The byproducts of these types of data collection are survey paradata, which can unlock objective, module- and question-specific, actionable insights on respondent burden, survey costs, and interviewer effects. This study does precisely that, using paradata generated by the Survey Solutions computer-assisted personal interviewing platform in recent national household surveys implemented by the national statistical offices in Cambodia, Ethiopia, and Tanzania. Across countries, the average household interview, based on a socioeconomic household questionnaire, ranges from 82 to 120 minutes, while the average interview with an adult household member, based on a multi-topic individual questionnaire, takes between 13 to 25 minutes. Using a multilevel model that is estimated for each household and individual questionnaire module, the paper shows that interviewer effects on module duration are significantly larger than the estimates from high-income contexts. Food consumption, household roster, and non-farm enterprises consistently emerge among the top five household questionnaire modules in terms of total variance in duration, with 5 to 50 percent of the variability being attributable to interviewers. Similarly, labor, health, and land ownership appear among the top five individual questionnaire modules in terms of total variance in duration, with 6 to 50 percent of the variability being attributable to interviewers. These findings, particularly by module, point to where additional interviewer training, fieldwork supervision, and data quality monitoring may be needed in future surveys
    DOI: 10.1596/1813-9450-10456
    URL: Deutschlandweit zugänglich
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  • 6
    Online Resource
    Online Resource
    Economic Sentiments and Expectations in Sub-Saharan Africa in a Time of Multiple Shocks (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (40 pages)
    Parallel Title: Erscheint auch als Wollburg, Philip Economic Sentiments and Expectations in Sub-Saharan Africa in a Time of Multiple Shocks
    Keywords: Economic Insecurity ; Economic Sentiment ; Expectations ; Living Standards ; Living Standards Measurement Survey Data ; Macroeconomics and Economic Growth ; Phone Survey ; Poverty Reduction ; Quality of Life and Leisure ; Schocks ; Social Development ; Uncertainty
    Abstract: Against the background of high inflation, climate shocks, and concerns about rising food insecurity, this study documents the state of economic sentiments and expectations of households in five African countries--Burkina Faso, Ethiopia, Malawi, Nigeria, and Uganda--that are home to 36 percent of the Sub-Saharan African population. Leveraging nationally representative phone survey data, 57 percent of households across the five countries report that their financial situation and their country's economic situation have worsened significantly in the past 12 months. While expectations for the future are more positive, there are marked differences across countries that suggest uneven recovery prospects and nonnegligible uncertainty about the future. Households overwhelmingly report prices to have increased considerably over the past 12 months and expect prices to increase faster, or at the same rate, over the next 12 months. Close to 54 percent of households--home to 206 million individuals--further expect that climate shocks will have adverse impacts on their finances in the next year. Economic sentiments are closely related to livelihood outcomes such as food insecurity, lack of access to staple foods, income loss, and unemployment, and sentiments about the household financial situation, country economic situation, price increases, and climate shocks are also interdependent. Households whose financial situation has worsened in the past year are consistently more pessimistic about their financial future. Food insecure households, in particular, are not only more likely to report a worsening financial situation in the recent past and pessimism about the future, but also more likely to expect to be adversely impacted by climate shocks
    DOI: 10.1596/1813-9450-10604
    URL: Deutschlandweit zugänglich
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  • 7
    Online Resource
    Online Resource
    Individual Wealth Inequality : Measurement and Evidence from Low- and Middle-Income Countries (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (51 pages)
    Parallel Title: Erscheint auch als Hasanbasri, Ardina Individual Wealth Inequality: Measurement and Evidence from Low- and Middle-Income Countries
    Keywords: Access To Finance ; Asset Ownership ; Economic Gender Differences ; Economic Insecurity ; Economic Opportunity ; Finance and Financial Sector Development ; Gender ; Gender and Economic Policy ; Gender and Economics ; Gender and Wealth ; Income Inequality ; Individual Income In Developing Countries ; Individual Wealth ; Macroeconomics and Economic Growth ; Wealth Inequality Study
    Abstract: The accumulation of personal wealth, stemming from ownership and control of assets, plays a critical role in advancing women's and men's economic opportunities. Yet, it is an understudied dimension of inequality across the developing world. To study individual-level wealth inequality and gender differences in wealth, this paper leverages unique data from nationally representative, multi-topic household surveys that were conducted in Cambodia, Ethiopia, Malawi, and Tanzania and that interviewed men and women in private regarding their personal ownership and valuation of physical and financial assets. The analysis documents substantial gender inequalities in asset ownership and wealth, overall and for specific asset classes. Individual-level wealth inequality measures are substantially higher vis-a-vis comparators based on per capita household consumption expenditures and per capita household wealth, and intrahousehold wealth inequality has a substantial role in explaining overall wealth inequality. While land is a key contributor to wealth inequality across countries, there is cross-country heterogeneity in the relative contributions of asset classes. Self-reporting on asset ownership and valuation, the internationally-recommended best practice, is also shown to lead to higher inequality estimates compared to the business-as-usual survey practice of interviewing a single, most-knowledgeable household member to identify intrahousehold asset owners and values. The discussion expands on the implications of the findings for future surveys and methodological research
    DOI: 10.1596/1813-9450-9987
    URL: Deutschlandweit zugänglich
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  • 8
    Online Resource
    Online Resource
    Is Dirt Cheap? : The Economic Costs of Failing to Meet Soil Health Requirements on Smallholder Farms (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Gourlay, Sydney Is Dirt Cheap? The Economic Costs of Failing to Meet Soil Health Requirements on Smallholder Farms
    Keywords: Agricultural Growth and Rural Development ; Agricultural Productivity ; Agriculture ; Agriculture and Farming Systems ; Crop Yields ; Household Surveys ; Rural Development ; Smallholders ; Soil ; Sub-Saharan Africa ; Technical Efficiency ; Uganda
    Abstract: Agricultural productivity is hindered in smallholder farming systems due to several factors, including farmers' inability to meet crop-specific soil requirements. This paper focuses on soil suitability for maize production and creates multidimensional soil suitability profiles of smallholder maize plots in Uganda, while quantifying forgone production due to cultivation on less-than-suitable land and identifying groups of farmers that are disproportionately impacted. The analysis leverages the unique socioeconomic data from a subnational survey conducted in Eastern Uganda, inclusive of plot-level, objective measures of maize yields and soil attributes. Stochastic frontier models of maize yields are estimated within each soil suitability class to understand differences in returns to inputs, technical efficiency, and potential yield. Only 13 percent of farmers are cultivating soil that is highly suitable for maize production, while the vast majority are cultivating only moderately suitable plots. Farmers cultivating highly suitable soil have the potential to increase their observed yields by as much as 86 percent, while those at the opposite end of the suitability distribution (with marginally suitable land) operate closer to the production frontier and can only increase yields by up to 59 percent, given the current technology set. There is heterogeneity in potential gains across the wealth distribution, with poorer households facing more heavily constrained potential. Assuming no change in technologies and management practices used by Ugandan farmers, there are limited economic gains tied to closing suitability class-specific productivity gaps, or even at the extreme reaching the average potential productivity levels observed in the high suitability class
    DOI: 10.1596/1813-9450-10108
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Investment Impacts of Gendered Land Rights in Customary Tenure Systems : Substantive and Methodological Insights from Malawi (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (28 pages)
    Parallel Title: Erscheint auch als Print Version: Deininger, Klaus Investment Impacts of Gendered Land Rights in Customary Tenure Systems: Substantive and Methodological Insights from Malawi
    Abstract: Compared with the vast literature on the investment and productivity effects of land rights formalization, little attention has been paid to the impact of variation in individuals' tenure security under customary tenure regimes. This is a serious gap not only because most of Africa's rural land is held under informal arrangements, but also because gradual erosion of long-term rights by women and migrants is often an indication of traditional systems coming under stress. Using a unique survey experiment in Malawi, the analysis shows that (i) having long-term land rights of bequest and sale has a significant impact on investment and cash crop adoption; (ii) women's land rights of bequest and sale, joint with local institutional arrangements, can amplify the magnitude of such effects; and (iii) the effects found here can be obscured by measurement error associated with traditional approaches to survey data collection on land ownership and rights
    DOI: 10.1596/1813-9450-9520
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  • 10
    Online Resource
    Online Resource
    Individual Wealth and Time Use : Evidence from Cambodia (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (48 pages)
    Parallel Title: Erscheint auch als Print Version: Hasanbasri, Ardina Individual Wealth and Time Use: Evidence from Cambodia
    Keywords: Asset Ownership ; Employment ; Employment and Unemployment ; Gender ; Gender and Development ; Household Survey ; ICT Economics ; Inequality ; Information and Communication Technologies ; Labor ; Poverty Reduction ; Time Allocation ; Time Use ; Wealth
    Abstract: A better understanding of how individual wealth and time use are linked-across paid, unpaid, and leisure activities-is important for targeting widespread gender inequalities in time allocation, as well as in accessing economic opportunities. The lack of reliable, individual-level data on asset ownership across different subpopulations, however, has limited discussions of these issues in the literature. Using a unique nationally representative survey from Cambodia, this paper shows that individual wealth, as measured through self-reported ownership of physical and financial assets, is significantly associated with time allocation to different activities. The role of asset ownership in time use is also stronger, particularly among women, vis-a-vis the competing proxies for socioeconomic status. Ownership of financial accounts, motorized vehicles, and mobile phones-all of which can improve access to networks, markets, and services-is associated with less time in unpaid work, and in some cases greater time in paid work, specifically among women in off-farm jobs. There are also distinct gender differences in how men and women shift their time away from leisure and childcare, highlighting the importance of social norms in choices over time use. The analysis highlights the utility of integrated, intra-household, individual-disaggregated data collection on asset ownership, time use, and employment in lower-income contexts
    DOI: 10.1596/1813-9450-9765
    URL: Deutschlandweit zugänglich
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  • 11
    Online Resource
    Online Resource
    Under what Conditions are Data Valuable for Development? (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (30 pages)
    Parallel Title: Erscheint auch als Print Version: Jolliffe, Dean Under what Conditions are Data Valuable for Development?
    Keywords: Development Data ; Economic Theory and Research ; Information and Communication Technologies ; Information Technology ; Macroeconomics and Economic Growth ; Public Sector Development ; Public Service Delivery ; Statistical and Mathematical Sciences ; Statistics
    Abstract: Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapid pace, yet their transformational impacts have not been realized fully. Why has the full value of these data not been realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generate value for development and presents case studies substantiating these conditions. The conditions are that data need to have adequate spatial and temporal coverage (are complete, frequent, and timely), are of high quality (are accurate, comparable, and granular), are easy to use (are accessible, understandable, and interoperable), and are safe to use (are impartial, confidential, and appropriate)
    DOI: 10.1596/1813-9450-9811
    URL: Deutschlandweit zugänglich
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  • 12
    Online Resource
    Online Resource
    Estimating the Impact of Weather on Agriculture (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (151 pages)
    Parallel Title: Erscheint auch als Print Version: Michler, Jeffrey D Estimating the Impact of Weather on Agriculture
    Keywords: Agricultural Productivity ; Agricultural Sector Economics ; Agriculture ; Climate and Meteorology ; Climate Change and Agriculture ; Climate Change Impacts ; Crop Yield ; Crops and Crop Management Systems ; Environment ; Precipitation ; Remote Sensing ; Science and Technology Development ; Temperature ; Weather Impacts
    Abstract: This paper quantifies the significance and magnitude of the effect of measurement error in remote sensing weather data in the analysis of smallholder agricultural productivity. The analysis leverages 17 rounds of nationally-representative, panel household survey data from six countries in Sub-Saharan Africa. These data are spatially linked with a range of geospatial weather data sources and related metrics. The paper provides systematic evidence on measurement error introduced by (1) different methods used to obfuscate the exact GPS coordinates of households, (2) different metrics used to quantify precipitation and temperature, and (3) different remote sensing measurement technologies. First, the analysis finds no discernible effect of measurement error introduced by different obfuscation methods. Second, it finds that simple weather metrics, such as total seasonal rainfall and mean daily temperature, outperform more complex metrics, such as deviations in rainfall from the long-run average or growing degree days, in a broad range of settings. Finally, the analysis finds substantial amounts of measurement error based on remote sensing products. In extreme cases, the data drawn from different remote sensing products result in opposite signs for coefficients on weather metrics, meaning that precipitation or temperature drawn from one product purportedly increases crop output while the same metrics drawn from a different product purportedly reduces crop output. The paper concludes with a set of six best practices for researchers looking to combine remote sensing weather data with socioeconomic survey data
    DOI: 10.1596/1813-9450-9867
    URL: Deutschlandweit zugänglich
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  • 13
    Online Resource
    Online Resource
    The Evolving Socioeconomic Impacts of COVID-19 in Four African Countries (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (24 pages)
    Parallel Title: Erscheint auch als Print Version: Furbush, Ann The Evolving Socioeconomic Impacts of COVID-19 in Four African Countries
    Abstract: The paper provides evidence on the evolving socioeconomic impacts of the COVID-19 pandemic among households in Ethiopia, Malawi, Nigeria, and Uganda. The data allow estimating the immediate economic impacts of the pandemic, beginning in April 2020, and tracking how the situation evolved through September 2020. Although households have started to see recovery in income, business revenues, and food security, the gains have been relatively modest. Additionally, households have received very little outside assistance and their ability to cope with shocks remains limited. School closures have created a vacuum in education delivery and school-aged children have struggled to receive education services remotely
    DOI: 10.1596/1813-9450-9556
    URL: Deutschlandweit zugänglich
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  • 14
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    LSMS+ Program in Sub-Saharan Africa : Findings from Individual-Level Data Collection on Labor and Asset Ownership (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Poverty Study
    Abstract: Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men's and women's economic opportunities and welfare. This report presents findings on gender differences in labor market outcomes and ownership of physical and financial assets in Sub-Saharan Africa, based on the national surveys that have been implemented by the respective national statistical offices (NSOs) in Ethiopia, Malawi, and Tanzania over the period 2016-2020, with support from the LSMS+ program
    DOI: 10.1596/35544
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  • 15
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    Recurrent Climatic Shocks and Humanitarian Aid : Impacts on Livelihood Outcomes in Malawi (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (49 pages)
    Parallel Title: Erscheint auch als Print Version: McCarthy, Nancy Recurrent Climatic Shocks and Humanitarian Aid: Impacts on Livelihood Outcomes in Malawi
    Abstract: Between 2014 and 2016 unprecedented and consecutive climatic shocks ravaged Malawi, one of the poorest countries in the world. The largest ever emergency relief operation in the country's history ensued. The pathways and extent to which the humanitarian response protected livelihoods remain under researched. This paper uses a unique data set that combines longitudinal household survey data with GIS-based measures of weather shocks and climate conditions and longitudinal administrative data on the World Food Programme's aid distribution. The paper aims to understand the drivers of humanitarian aid and evaluate the impact of aid and weather shocks on outcomes related to household production and consumption in Malawi. The analysis shows that droughts and floods had consistent negative impacts on a range of welfare outcomes, particularly for households that were subject to sequential shocks. Aid receipt is demonstrated to attenuate such impacts, again particularly for households that experienced the shocks consecutively. Households living in areas subject to a weather shock and with higher World Food Programme aid distribution were more likely to receive food aid, partially explaining the success of aid in mitigating the impacts of shocks. However, there is significant scope for improving the criteria for targeting humanitarian aid beneficiaries
    DOI: 10.1596/1813-9450-9666
    URL: Deutschlandweit zugänglich
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  • 16
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    Survey Measurement Errors and the Assessment of the Relationship between Yields and Inputs in Smallholder Farming Systems : Evidence from Mali (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (62 pages)
    Parallel Title: Erscheint auch als Print Version: Yacoubou Djima, Ismael Survey Measurement Errors and the Assessment of the Relationship between Yields and Inputs in Smallholder Farming Systems: Evidence from Mali
    Keywords: Agricultural Input ; Agricultural Productivity ; Agricultural Sector Economics ; Agriculture ; Crop Cutting ; Crop Yield ; Crops and Crop Management Systems ; Household Survey ; Machine Learning ; Measurement Error ; Smallholder Farming
    Abstract: An accurate understanding of how input use affects agricultural productivity in smallholder farming systems is key to designing policies that can improve productivity, food security, and living standards in rural areas. Studies examining the relationships between agricultural productivity and inputs typically rely on land productivity measures, such as crop yields, that are informed by self-reported survey data on crop production. This paper leverages unique survey data from Mali to demonstrate that self-reported crop yields, vis-a-vis (objective) crop cut yields, are subject to non-classical measurement error that in turn biases the estimates of returns to inputs, including land, labor, fertilizer, and seeds. The analysis validates an alternative approach to estimate the relationship between crop yields and agricultural inputs using large-scale surveys, namely a within-survey imputation exercise that derives predicted, otherwise unobserved, objective crop yields that stem from a machine learning model that is estimated with a random subsample of plots for which crop cutting and self-reported yields are both available. Using data from a methodological survey experiment and a nationally representative survey conducted in Mali, the analysis demonstrates that it is possible to obtain predicted objective sorghum yields with attenuated non-classical measurement error, resulting in a less biased assessment of the relationship between yields and agricultural inputs. The discussion expands on the implications of the findings for (i) future research on agricultural intensification, and (ii) the design of future surveys in which objective data collection could be limited to a subsample to save costs, with the intention to apply the suggested machine learning approach
    DOI: 10.1596/1813-9450-9841
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  • 17
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    Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (123 pages)
    Parallel Title: Erscheint auch als Print Version: Dang, Hai-Anh H Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements
    Keywords: Asset Wealth ; Demographic and Health Survey ; Educational Achievement ; Employment ; Household Survey ; Inequality ; Living Standards ; Poverty Lines ; Poverty Measurement ; Poverty Reduction ; Survey-To-Survey Imputation
    Abstract: A key challenge with poverty measurement is that household consumption data are often unavailable or infrequently collected or may be incomparable over time. In a development project setting, it is seldom feasible to collect full consumption data for estimating the poverty impacts. While survey-to-survey imputation is a cost-effective approach to address these gaps, its effective use calls for a combination of both ex-ante design choices and ex-post modeling efforts that are anchored in validated protocols. This paper refines various aspects of existing poverty imputation models using 14 multi-topic household surveys conducted over the past decade in Ethiopia, Malawi, Nigeria, Tanzania, and Vietnam. The analysis reveals that including an additional predictor that captures household utility consumption expenditures-as part of a basic imputation model with household-level demographic and employment variables-provides poverty estimates that are not statistically significantly different from the true poverty rates. In many cases, these estimates even fall within one standard error of the true poverty rates. Adding geospatial variables to the imputation model improves imputation accuracy on a cross-country basis. Bringing in additional community-level predictors (available from survey and census data in Vietnam) related to educational achievement, poverty, and asset wealth can further enhance accuracy. Yet, there is within-country spatial heterogeneity in model performance, with certain models performing well for either urban areas or rural areas only. The paper provides operationally-relevant and cost-saving inputs into the design of future surveys implemented with a poverty imputation objective and suggests directions for future research
    DOI: 10.1596/1813-9450-9838
    URL: Deutschlandweit zugänglich
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  • 18
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    Representativeness of Individual-Level Data in COVID-19 Phone Surveys : Findings from Sub-Saharan Africa (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Print Version: Brubaker, Joshua Representativeness of Individual-Level Data in COVID-19 Phone Surveys: Findings from Sub-Saharan Africa
    Abstract: The COVID-19 pandemic has created urgent demand for timely data, leading to a surge in mobile phone surveys for tracking the impacts of and responses to the pandemic. This paper assesses, and attempts to mitigate, selection biases in individual-level analyses based on phone survey data. The research uses data from (i) national phone surveys that have been implemented in Ethiopia, Malawi, Nigeria, and Uganda during the pandemic, and (ii) the pre-COVID-19 national face-to-face surveys that served as the sampling frames for the phone surveys. The availability of pre-COVID-19 face-to-face survey data permits comparisons of phone survey respondents with the general adult population. Phone survey respondents are more likely to be household heads or their spouses and non-farm enterprise owners, and on average, are older and better educated vis-a-vis the general adult population. To improve the representativeness of individual-level phone survey data, the household-level phone survey sampling weights are calibrated based on propensity score adjustments that are derived from a model of an individual's likelihood of being interviewed as a function of individual- and household-level attributes. Reweighting improves the representativeness of the estimates for the phone survey respondents, moving them closer to those of the general adult population. This holds for women and men and a range of demographic, education, and labor market outcomes. However, reweighting increases the variance of the estimates and fails to overcome selection biases. Obtaining reliable data on men and women through phone surveys requires random selection of adult interviewees within sampled households
    DOI: 10.1596/1813-9450-9660
    URL: Deutschlandweit zugänglich
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  • 19
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    The Distribution of Effort : Physical Activity, Gender Roles, and Bargaining Power in an Agrarian Setting (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (28 pages)
    Parallel Title: Erscheint auch als Print Version: Friedman, Jed The Distribution of Effort: Physical Activity, Gender Roles, and Bargaining Power in an Agrarian Setting
    Abstract: The disutility of work, often summarily described as effort, is a primal component of economic models of worker and consumer behavior. However, empirical applications that measure effort, especially those that assess the distribution of effort across known populations, are historically scarce. This paper explores intra-household differences in physical activity in a rural agrarian setting. Physical activity is captured via wearable accelerometers that provide a proxy for physical effort expended per unit of time. In the study setting of agricultural households in Malawi, men devote significantly more time to sedentary activities than women (38 minutes per day), but also spend more time on moderate-to-vigorous activities (16 minutes). Using standardized energy expenditure as a summary measure for physical effort, women exert marginally higher levels of physical effort than men. However, gender differences in effort among married partners are strongly associated with intra-household differences in bargaining power, with significantly larger husband-wife effort gaps alongside larger differences in age and individual land ownership as well as whether the couple lives as part of a polygamous union. Physical activity - a proxy for physical effort, an understudied dimension of wellbeing - exhibits an unequal distribution across gender in this population
    DOI: 10.1596/1813-9450-9634
    URL: Deutschlandweit zugänglich
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  • 20
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    LSMS+ Program in Cambodia : Findings from Individual-Level Data Collection on Labor and Asset Ownership (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Poverty Study
    Abstract: Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men's and women's economic opportunities and welfare. This report presents findings on gender differences in labor market outcomes and ownership of physical and financial assets in Cambodia, based on a national survey that was implemented by the National Institute of Statistics (NIS) in 2019, with support from the LSMS+ program
    DOI: 10.1596/35543
    URL: Deutschlandweit zugänglich
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  • 21
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    LSMS+ Program : Overview and Recommendations for Improving Individual-Disaggregated Data on Asset Ownership and Labor Outcomes (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Poverty Study
    Abstract: Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men's and women's economic opportunities and welfare. This report presents an overview of the LSMS+ program and provides operational guidance regarding individual-disaggregated data collection in large-scale household surveys, based on the experience with and analysis of the national surveys that have been implemented by the respective national statistical offices (NSOs) in Cambodia, Ethiopia, Malawi, Tanzania over the period 2016-2020, with support from the LSMS+ program
    DOI: 10.1596/35542
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  • 22
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    Understanding the Requirements for Surveys to Support Satellite-Based Crop Type Mapping : Evidence from Sub-Saharan Africa (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (43 pages)
    Parallel Title: Erscheint auch als Print Version: Azzari, George Understanding the Requirements for Surveys to Support Satellite-Based Crop Type Mapping: Evidence from Sub-Saharan Africa
    Abstract: With the surge in publicly available high-resolution satellite imagery, satellite-based monitoring of smallholder agricultural outcomes is gaining momentum. This paper provides recommendations on how large-scale household surveys should be conducted to generate the data needed to train models for satellite-based crop type mapping in smallholder farming systems. The analysis focuses on maize cultivation in Malawi and Ethiopia, and leverages rich, georeferenced plot-level data from national household surveys that were conducted in 2018-20 and that are integrated with Sentinel-2 satellite imagery and complementary geospatial data. To identify the approach to survey data collection that yields optimal data for training remote sensing models, 26,250 in silico experiments are simulated within a machine learning framework. The best model is then applied to map seasonal maize cultivation from 2016 to 2019 at 10-meter resolution in both countries. The analysis reveals that smallholder plots with maize cultivation can be identified with up to 75 percent accuracy. However, the predictive accuracy varies with the approach to georeferencing plot locations and the number of observations in the training data. Collecting full plot boundaries or complete plot corner points provides the best quality of information for model training. Classification performance peaks with slightly less than 60 percent of the training data. Seemingly small erosion in accuracy under less preferable approaches to georeferencing plots results in total area under maize cultivation being overestimated by 0.16 to 0.47 million hectares (8 to 24 percent) in Malawi
    DOI: 10.1596/1813-9450-9609
    URL: Deutschlandweit zugänglich
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  • 23
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    Diamonds in the Rough? : Repurposing Multi-Topic Surveys to Estimate Individual-Level Consumption Poverty (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (50 pages)
    Parallel Title: Erscheint auch als Print Version: Bose-Duker, Theophiline Diamonds in the Rough? Repurposing Multi-Topic Surveys to Estimate Individual-Level Consumption Poverty
    Abstract: Traditional per capita measures of poverty assign the same poverty status to individuals living in the same household and overlook differences in living standards within households. There has been a long-standing need for a tool that enables poverty measurement at the individual level, while avoiding overly complex estimation techniques and, if possible, using readily available household survey data. An ordinary least squares-based strategy was recently introduced to estimate individual resource shares. This paper presents the theory behind this approach in an accessible fashion for those interested in individual-level consumption poverty measurement using existing household survey data. The strategy's assumptions are compared with the assumptions of the prevailing per capita approach to deriving poverty estimates. The empirical analysis presents competing individual-level poverty estimates in four diverse countries under the individual resource shares strategy versus the per capita approach. The results suggest that poverty is underestimated under the per capita approach. There is further evidence that women may be poorer than men, and that children and the elderly are disproportionately affected by poverty. However, the pursuit of the individual resource shares approach reveals cross-country heterogeneity in the extent of increase in headcount poverty estimates, and in the direction of change in headcount poverty estimates for men and women. The paper concludes with suggestions for further methodological research in this area
    DOI: 10.1596/1813-9450-9661
    URL: Deutschlandweit zugänglich
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  • 24
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    Could the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (76 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Gourlay, Sydney Could the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda
    Abstract: Based on a two-round household panel survey conducted in Eastern Uganda, this study shows that the analysis of the inverse scale-productivity relationship is highly sensitive to how plot-level maize production, hence yield (production divided by GPS-based plot area), is measured. Although farmer-reported production-based plot-level maize yield regressions consistently lend support to the inverse scale-productivity relationship, the comparable regressions estimated with maize yields based on sub-plot crop cutting, full-plot crop cutting, and remote sensing point toward constant returns to scale, at the mean as well as throughout the distributions of objective measures of maize yield. In deriving the much-debated coefficient for GPS-based plot area, the maize yield regressions control for objective measures of soil fertility, maize genetic heterogeneity, and edge effects at the plot level; a rich set of plot, household, and plot manager attributes; as well as time-invariant household- and parcel-level unobserved heterogeneity in select specifications that exploit the panel nature of the data. The core finding is driven by persistent overestimation of farmer-reported maize production and yield vis-a-vis their crop cutting-based counterparts, particularly in the lower half of the plot area distribution. Although the results contribute to a larger, and renewed, body of literature questioning the inverse scale-productivity relationship based on omitted explanatory variables or alternative formulations of the agricultural productivity measure, the paper is among the first documenting how the inverse relationship could be a statistical artifact, driven by errors in farmer-reported survey data on crop production
    DOI: 10.1596/1813-9450-8192
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 25
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    Shelter from the Storm? Household-Level Impacts of, and Responses to, the 2015 Floods in Malawi (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (34 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als McCarthy, Nancy Shelter from the Storm? Household-Level Impacts of, and Responses to, the 2015 Floods in Malawi
    Abstract: As extreme weather events intensify due to climate change, it becomes ever more critical to understand how vulnerable households are to these events and the mechanisms households can rely on to minimize losses effectively. This paper analyzes the impacts of the floods that occurred during the 2014/15 growing season in Malawi, using a two-period panel data set. The results show that while yields were dramatically lower for households severely affected by the floods, drops in food consumption expenditures and calories per capita were less dramatic. However, dietary quality, as captured by the food consumption score, was significantly lower for flood-affected households. Although access to social safety nets increased food consumption outcomes, particularly for those in moderately-affected areas, the proportion of households with access to certain safety net programs was lower in 2015 compared with 2013. The latter finding suggests that linking these programs more closely to disaster relief efforts could substantially improve welfare outcomes during and after a natural disaster. Finally, risk-coping strategies, including financial account ownership, access to off-farm income sources, and adult children living away from home, were generally ineffective in mitigating the negative impacts of the floods
    DOI: 10.1596/1813-9450-8189
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 26
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    Mission Impossible? Exploring the Promise of Multiple Imputation for Predicting Missing GPS-Based Land Area Measures in Household Surveys (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (23 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Kilic, Talip Mission Impossible? Exploring the Promise of Multiple Imputation for Predicting Missing GPS-Based Land Area Measures in Household Surveys
    Abstract: Research has provided robust evidence for the use of GPS technology to be the scalable gold standard in land area measurement in household surveys. Nonetheless, facing budget constraints, survey agencies often seek to measure with GPS only plots within a given radius of dwelling locations. Subsequently, it is common for significant shares of plots not to be measured, and research has highlighted the selection biases resulting from using incomplete data. This study relies on nationally-representative, multi-topic household survey data from Malawi and Ethiopia that exhibit near-negligible missingness in GPS-based plot areas, and validates the accuracy of a multiple imputation model for predicting missing GPS-based plot areas in household surveys. The analysis (i) randomly creates missingness among plots beyond two operationally relevant distance measures from the dwelling locations; (ii) conducts multiple imputation under each distance scenario for each artificially created data set; and (iii) compares the distributions of the imputed plot-level outcomes, namely, area and agricultural productivity, with the known distributions. In Malawi, multiple imputation can produce imputed yields that are statistically undistinguishable from the true distributions with up to 82 percent missingness in plot areas that are further than 1 kilometer from the dwelling location. The comparable figure in Ethiopia is 56 percent. These rates correspond to overall rates of missingness of 23 percent in Malawi and 13 percent in Ethiopia. The study highlights the promise of multiple imputation for reliably predicting missing GPS-based plot areas, and provides recommendations for optimizing fieldwork activities to capture the minimum required data
    DOI: 10.1596/1813-9450-8138
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 27
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    Soft Skills for Hard Constraints : Evidence from High-Achieving Female Farmers (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (35 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Montalvao, Joao Soft Skills for Hard Constraints: Evidence from High-Achieving Female Farmers
    Abstract: This paper documents the positive link between the noncognitive skills of women farmers and the adoption of a cash crop. The context is Malawi, one of the poorest countries in the world, where the majority of rural households practice subsistence farming. The analysis finds that a one standard deviation increase in noncognitive ability related to perseverance is associated with a five percentage point (or 33 percent) increase in the probability of adoption of the main cash crop. This link is not explained by differences across women in education and cognitive skills. It is also not explained by the fact that women with higher noncognitive ability tend to be married to husbands of higher noncognitive ability and education. The effect of female noncognitive skills on adoption is concentrated in patrilocal communities, where women face greater adversity and thus where it would be expected that the returns to such skills would be highest. One main channel through which noncognitive skills seem to work is through the use of productive inputs, including higher levels of labor, fertilizer, and agricultural advice services
    DOI: 10.1596/1813-9450-8095
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 28
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    Measuring Ownership, Control, and Use of Assets (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (37 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Doss, Cheryl Measuring Ownership, Control, and Use of Assets
    Abstract: Assets generate and help diversify income, provide collateral to access credit, alleviate liquidity constraints in the face of shocks, and are key inputs into empowerment. Despite the importance of individual-level data on asset ownership and control, and that most assets are owned by individuals, solely or jointly, it is typical for the micro data on asset ownership to be collected at the household level, often from only one respondent per household. Even when the data are collected at the individual level, with identification of reported or documented owners of a given asset within the household, the information is still often solicited from a single respondent. Further, the identification of owners is seldom paired with the identification of individuals who hold various rights to assets, limiting understanding of the interrelationships among ownership and rights, and whether these relationships vary across individuals. Through a review of the existing approaches to data collection and the relevant literature on survey methodology, this paper presents an overview of the current best practices for collecting individual-level data on the ownership and control of assets in household and farm surveys. The paper provides recommendations in three areas: (1) respondent selection; (2) definition and measurement of assess to and ownership and control of assets; and (3) measurement of the quantity, value, and quality of assets. Open methodological questions that can be answered through analysis of existing data or the collection and analysis of new data are identified for future research
    DOI: 10.1596/1813-9450-8146
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 29
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    Stronger Together : Intra-Household Cooperation and Household Welfare in Malawi (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (37 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als McCarthy, Nancy Stronger Together: Intra-Household Cooperation and Household Welfare in Malawi
    Abstract: It has long been recognized that household decision-making may not result in outcomes consistent with the unitary household model. Within the collective bargaining framework, consumption decisions would be driven by the spouse with greater bargaining power, while the outcomes would still be Pareto efficient. Within the non-cooperative framework, households would not achieve Pareto efficient outcomes, and under the simplest representation, bargaining power would not affect consumption decisions. This paper develops a model that allows consumption patterns and labor supply to be affected by both bargaining power and non-cooperation. The model highlights the potential gains from improving bargaining power versus increasing cooperation between spouses, and presents conditions under which relatively large gains would be expected from moving to more equitable bargaining power versus achieving intra-household cooperation. The model's predictions are in turn tested using a unique panel data set on married couples in rural Malawi. The analysis shows that, relative to increasing wives' bargaining power, improving cooperation between spouses would exert larger and statistically significant positive impacts on total household income and consumption expenditures per capita, as well as the share of household consumption devoted to public goods. Supported also by cross-country qualitative research, the results suggest that household public goods are relatively important to both women and men in rural Malawi, husbands' capacity to control wives' incomes is relatively limited, and development programs that promote intra-household cooperation could lead to greater gains in income and household public goods provision compared with interventions focusing exclusively on women's empowerment
    DOI: 10.1596/1813-9450-8043
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 30
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    Costing Household Surveys for Monitoring Progress toward Ending Extreme Poverty and Boosting Shared Prosperity (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (34 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Kilic, Talip Costing Household Surveys for Monitoring Progress toward Ending Extreme Poverty and Boosting Shared Prosperity
    Abstract: 92 million is projected to cover the survey implementation costs across 78 countries, and US
    Abstract: 92 million is projected to cover the survey implementation costs across 78 countries, and US
    DOI: 10.1596/1813-9450-7951
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  • 31
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    Mapping the World Population One Building at a Time (2017)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: High resolution datasets of population density which accurately map sparsely distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently, methods using remotely-sensed data have emerged, capable of effectively identifying urbanized areas. Obtaining high accuracy in estimation of population distribution in rural areas remains a very challenging task due to the simultaneous requirements of sufficient sensitivity and resolution to detect very sparse populations through remote sensing as well as reliable performance at a global scale. Here, the authors present a computer vision method based on machine learning to create population maps from satellite imagery at a global scale, with a spatial sensitivity corresponding to individual buildings and suitable for global deployment
    DOI: 10.1596/33700
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  • 32
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    Methodological Experiment on Measuring Asset Ownership from a Gender Perspective (2016)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Women in Development and Gender Study
    Abstract: In their productive capacity, assets generate income and facilitate access to capital and credit. In the face of shocks, they enhance the ability to diversify income and alleviate liquidity constraints (Hulme and Shepherd, 2003; Carter and Barrett, 2006). Ownership of, and control over assets is a key input into individual empowerment and the related micro data constitute an essential input into extensive economic research focused on intra-household bargaining outcomes and their impact on household and individual welfare. Underlying these sub-optimal approaches to individual level data collection, in particular the use of proxy respondents that overlooks information asymmetries within households, is the lack of technical guidelines on questionnaire design and respondent selection protocols that properly capture individual-level ownership of, and rights to assets. In a world of imperfect and scarce data, the absence of these recommended practices fuels the prevalence of myths regarding women's asset ownership and contributes to the inability to clearly articulate policy responses to inequalities faced by women and men (Doss and others, 2015). The provision of these guidelines, anchored in solid methodological research, would in turn improve the collection of household survey data facilitating better socioeconomic research focused on personal wealth and its distribution. The MEXA design was informed by the recommendations of the EDGE Follow-up Meeting on Measuring Asset Ownership from a Gender Perspective that was held on November 21-22, 2013 with participation from the United Nations Statistics Division (UNSD), the UN Women, World Bank, the United States Agency for International Development (USAID), UBOS and Yale University. A review of the survey instruments and protocols linked to the Gender Asset Gap Project, Women's Empowerment in Agriculture Index (WEAI), Demographic and Health Surveys, and Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) initiative was important for distilling the prominent approaches to respondent selection in household surveys across the developing world
    DOI: 10.1596/33653
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  • 33
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    How Much of the Labor in African Agriculture is Provided by Women? (2015)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (36 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Palacios-Lopez, Amparo How Much of the Labor in African Agriculture is Provided by Women?
    Abstract: Communities & Human Settlements
    DOI: 10.1596/1813-9450-7282
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  • 34
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    Same Question but Different Answer : Experimental Evidence on Questionnaire Design's Impact on Poverty Measured by Proxies (2015)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (37 p)
    Series Statement: World Bank E-Library Archive
    Parallel Title: Erscheint auch als Kilic, Talip Same Question but Different Answer: Experimental Evidence on Questionnaire Design's Impact on Poverty Measured by Proxies
    Abstract: Does the same question asked of the same population yield the same answer in face-to-face interviews when other parts of the questionnaire are altered? If not, what would be the implications for proxy-based poverty measurement? Relying on a randomized household survey experiment implemented in Malawi, this study finds that observationally equivalent as well as same households answer the same questions differently when interviewed with a short questionnaire versus the longer counterpart that, in a prior survey round, would have informed the prediction model for a proxy-based poverty measurement exercise. The analysis yields statistically significant differences in reporting between the short and long questionnaires across all topics and types of questions. The reporting differences result in significantly different predicted poverty rates and Gini coefficients. While the difference in predictions ranges from approximately 3 to 7 percentage points depending on the model specification, restricting the proxies to those collected prior the variation in questionnaire design, namely demographic variables from the household roster and location fixed effects, leads to same predictions in both samples. The findings emphasize the need for further methodological research, and suggest that short questionnaires designed for proxy-based poverty measurement should be piloted, prior to implementation, in parallel with the longer questionnaire from which they have evolved. The fact that at the median it took 25 minutes to complete the food and non-food consumption sections in the long questionnaire also implies that the implementation of these sections might not be as overly costly as usually assumed
    DOI: 10.1596/1813-9450-7182
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  • 35
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    The Nexus between Gender, Collective Action for Public Goods, and Agriculture : Evidence from Malawi (2014)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (55 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: McCarthy, Nancy The Nexus between Gender, Collective Action for Public Goods, and Agriculture
    Abstract: Across the developing world, public goods exert significant impacts on the local rural economy in general and agricultural productivity and welfare outcomes in particular. Economic and social-cultural heterogeneity have, however, long been documented as detrimental to collective capacity to provide public goods. In particular, women are often under-represented in local leadership and decision-making processes, as are young adults and minority ethnic groups. While democratic principles dictate that broad civic engagement by women and other groups could improve the efficiency and effectiveness of local governance and increase public goods provision, the empirical evidence on these hypotheses is scant. This paper develops a theoretical model highlighting the complexity of constructing a "fair" schedule of individual contributions, given heterogeneity in costs and benefits that accrue to people depending, for instance, on their gender, age, ethnicity, and education. The model demonstrates that representative leadership and broad participation in community organizations can mitigate the negative impacts of heterogeneity on collective capacity to provide public goods. Nationally-representative household survey data from Malawi, combined with geospatial and administrative information, are used to test this hypothesis and estimate the relationship between collective capacity for public goods provision and community median estimates of maize yields and household consumption expenditures per capita. The analysis shows that similarities between the leadership and the general population, in terms of gender and age, and active participation by women and young adults in community groups alleviate the negative effects of heterogeneity and increase collective capacity, which in turn improves agricultural productivity and welfare
    DOI: 10.1596/1813-9450-6806
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  • 36
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    Decomposition of Gender Differentials in Agricultural Productivity in Ethiopia (2014)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (54 p)
    Edition: 2014 World Bank eLibrary
    Parallel Title: Aguilar, Arturo Decomposition of Gender Differentials in Agricultural Productivity in Ethiopia
    Abstract: This paper employs decomposition methods to analyze differences in agricultural productivity between male and female land managers in Ethiopia. It employs data from the 2011-2012 Ethiopian Rural Socioeconomic Survey. An overall 23.4 percent gender differential in agricultural productivity is estimated at the mean in favor of male land managers, of which 10.1 percentage points are explained by differences in land manager characteristics, land attributes, and unequal access to resources (the endowment effect). The remaining 13.4 percentage points are explained by unequal returns to productive components, but cannot be easily tied to specific covariates. These results are mainly driven by non-married female managers (mainly single and divorced). Married female managers do not display such disadvantages. Further analysis along the productivity distribution reveals that gender differentials are more pronounced at mid-levels of productivity and that the share of the gender gap explained by the endowment effect declines as productivity increases. Detailed decomposition of estimates at selected points of the agricultural productivity distribution provides valuable information for policy intervention purposes
    DOI: 10.1596/1813-9450-6764
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  • 37
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    Up in Smoke? : Agricultural Commercialization, Rising Food Prices and Stunting in Malawi (2013)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (36 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Wood, Benjamin Up in Smoke?
    Abstract: Diversification into high-value cash crops among smallholders has been propagated as a strategy to improve welfare in rural areas. However, the extent to which cash crop production spurs projected gains remains an under-researched question, especially in the context of market imperfections leading to non-separable production and consumption decisions, and price shocks to staple crops that might be displaced on the farm by cash crops. This study is a contribution to the long-standing debate on the links between commercialization and nutrition. It uses nationally-representative household survey data from Malawi, and estimates the effect of household adoption of an export crop, namely tobacco, on child height-for-age z-scores. Given the endogenous nature of household tobacco adoption, the analysis relies on instrumental variable regressions, and isolates the causal effect by comparing impact estimates informed by two unique samples of children that differ in their exposure to an exogenous domestic staple food price shock during the early child development window (from conception through two years of age). The analysis finds that household tobacco production in the year of or the year after child birth, combined with exposure to an exogenous domestic staple food price shock, lowers the child height-for-age z-score by 1.27, implying a 70-percent drop in z-score. The negative effect is, however, not statistically significant among children who were not exposed to the same shock. The results put emphasis on the food insecurity and malnutrition risks materializing at times of high food prices, which might have disproportionately adverse effects on uninsured cash crop producers
    DOI: 10.1596/1813-9450-6650
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  • 38
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    Decentralized Beneficiary Targeting in Large-Scale Development Programs : Insights from the Malawi Farm Input Subsidy Program (2013)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (36 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Kilic, Talip Decentralized Beneficiary Targeting in Large-Scale Development Programs
    Abstract: This paper contributes to the long-standing debate on the merits of decentralized beneficiary targeting in the administration of development programs, focusing on the large-scale Malawi Farm Input Subsidy Program. Nationally-representative household survey data are used to systematically analyze the decentralized targeting performance of the program during the 2009-2010 agricultural season. The analysis begins with a standard targeting assessment based on the rates of program participation and the benefit amounts among the eligible and non-eligible populations, and provides decompositions of the national targeting performance into the inter-district, intra-district inter-community, and intra-district intra-community components. This approach identifies the relative contributions of targeting at each level. The results show that the Farm Input Subsidy Program is not poverty targeted and that the national government, districts, and communities are nearly uniform in their failure to target the poor, with any minimal targeting (or mis-targeting) overwhelmingly materializing at the community level. The findings are robust to the choice of the eligibility indicator and the decomposition method. The multivariate analysis of household program participation reinforces these results and reveals that the relatively well-off, rather than the poor or the wealthiest, and the locally well-connected have a higher likelihood of program participation and, on average, receive a greater number of input coupons. Since a key program objective is to increase food security and income among resource-poor farmers, the lack of targeting is a concern and should underlie considerations of alternative targeting approaches that, in part or completely, rely on proxy means tests at the local level
    DOI: 10.1596/1813-9450-6713
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  • 39
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    Caught in a Productivity Trap : A Distributional Perspective on Gender Differences in Malawian Agriculture (2013)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (51 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Kilic, Talip Caught in a Productivity Trap
    Abstract: In targeting poverty gains, sub-Saharan African governments have emphasized the alleviation of gender differences in agricultural productivity. The empirical studies on the gender gap, however, have frequently used data that were limited regarding geographic and topical coverage, and/or details on intra-household dynamics. The study provides a nationally-representative analysis of the gender gap in Malawi, and decomposes it, for the first time, at the mean and at selected points of the agricultural productivity distribution into (i) a portion driven by gender differences in levels of observable attributes (the endowment effect), and (ii) a portion driven by gender differences in returns to the same set of observables (the structure effect). Sequentially, the authors unpack the relative contributions of different factors towards the gender gap, and suggest future research priorities to inform policy interventions. The authors find that while female-managed plots are, on average, 25 percent less productive, 82 percent of this differential is explained by differences in endowments, mainly due to high-value crop cultivation and levels of household adult male labor inputs. The factors driving the structure effect include child dependency ratio and effectiveness of household adult male labor and inorganic fertilizer. The gender gap increases across the productivity distribution, ranging from 22 percent at the 10th percentile to 37 percent at the 90th percentile. While it is explained predominantly by the endowment effect in the first half of the distribution, the contribution of the structure effect towards the gender gap increases steadily above the median, standing at 34 percent at the 90th percentile
    DOI: 10.1596/1813-9450-6381
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  • 40
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    Missing(ness) in Action : Selectivity Bias in GPS-Based Land Area Measurements (2013)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (31 p)
    Edition: 2013 World Bank eLibrary
    Parallel Title: Kilic, Talip Missing(ness) in Action
    Abstract: Land area is a fundamental component of agricultural statistics, and of analyses undertaken by agricultural economists. While household surveys in developing countries have traditionally relied on farmers' own, potentially error-prone, land area assessments, the availability of affordable and reliable Global Positioning System (GPS) units has made GPS-based area measurement a practical alternative. Nonetheless, in an attempt to reduce costs, keep interview durations within reasonable limits, and avoid the difficulty of asking respondents to accompany interviewers to distant plots, survey implementing agencies typically require interviewers to record GPS-based area measurements only for plots within a given radius of dwelling locations. It is, therefore, common for as much as a third of the sample plots not to be measured, and research has not shed light on the possible selection bias in analyses relying on partial data due to gaps in GPS-based area measures. This paper explores the patterns of missingness in GPS-based plot areas, and investigates their implications for land productivity estimates and the inverse scale-land productivity relationship. Using Multiple Imputation (MI) to predict missing GPS-based plot areas in nationally-representative survey data from Uganda and Tanzania, the paper highlights the potential of MI in reliably simulating the missing data, and confirms the existence of an inverse scale-land productivity relationship, which is strengthened by using the complete, multiply-imputed dataset. The study demonstrates the usefulness of judiciously reconstructed GPS-based areas in alleviating concerns over potential measurement error in farmer-reported areas, and with regards to systematic bias in plot selection for GPS-based area measurement
    DOI: 10.1596/1813-9450-6490
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  • 41
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    Should African Rural Development Strategies Depend on Smallholder Farms? : An Exploration of the Inverse Productivity Hypothesis (2012)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (32 p)
    Edition: 2012 World Bank eLibrary
    Parallel Title: Larson, Donald F Should African Rural Development Strategies Depend on Smallholder Farms?
    Abstract: In Africa, most development strategies include efforts to improve the productivity of staple crops grown on smallholder farms. An underlying premise is that small farms are productive in the African context and that smallholders do not forgo economies of scale-a premise supported by the often observed phenomenon that staple cereal yields decline as the scale of production increases. This paper explores a research design conundrum that encourages researchers who study the relationship between productivity and scale to use surveys with a narrow geographic reach, when policy would be better served with studies based on wide and heterogeneous settings. Using a model of endogenous technology choice, the authors explore the relationship between maize yields and scale using alternative data. Since rich descriptions of the decision environments that farmers face are needed to identify the applied technologies that generate the data, improvements in the location specificity of the data should reduce the likelihood of identification errors and biased estimates. However, the analysis finds that the inverse productivity hypothesis holds up well across a broad platform of data, despite obvious shortcomings with some components. It also finds surprising consistency in the estimated scale elasticities
    DOI: 10.1596/1813-9450-6190
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  • 42
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    Non-Traditional Crops, Traditional Constraints : Long-Term Welfare Impacts of Export Crop Adoption Among Guatemalan Smallholders (2009)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (27 p)
    Edition: 2009 World Bank eLibrary
    Parallel Title: Carletto, Calogero Non-Traditional Crops, Traditional Constraints
    Abstract: This study documents the long-term welfare effects of household non-traditional agricultural export (NTX) adoption. The analysis uses a unique panel dataset, which spans the period 1985-2005, and employs difference-in-differences estimation to investigate the long-term impact of non-traditional agricultural export adoption on changes in household consumption status and asset position in the Central Highlands of Guatemala. Given the heterogeneity in adoption patterns, the analysis differentiates the impact estimates based on a classification of households that takes into account the timing and duration of non-traditional agricultural export adoption. The results show that while, on average, welfare levels have improved for all households irrespective of adoption status and duration, the extent of improvement has varied across groups. Long-term adopters exhibit the smallest increase in the lapse of two decades, in spite of some early gains. Conversely, early adopters who withdrew from non-traditional agricultural export production after reaping the benefits of the boom period of the 1980s are found to have fared better and shown greater improvements in durable asset position and housing conditions than any other category
    DOI: 10.1596/1813-9450-5142
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  • 43
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    Social Transfers, Labor Supply And Poverty Reduction : The Case of Albania (2008)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (1 online resource (55 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Dabalen, Andrew Social Transfers, Labor Supply And Poverty Reduction
    Keywords: Communities & Human Settlements ; Health, Nutrition and Population ; Housing and Human Habitats ; Income support ; Income support program ; Labor Markets ; Labor Policies ; Labor force ; Labor supply ; Laid-off workers ; Persistent unemployment ; Population Policies ; Poverty Reduction ; Price controls ; Public services ; Rural Development ; Rural Poverty Reduction ; Social Protections and Labor ; Unemployment benefits ; Unintended consequ ; Communities & Human Settlements ; Health, Nutrition and Population ; Housing and Human Habitats ; Income support ; Income support program ; Labor Markets ; Labor Policies ; Labor force ; Labor supply ; Laid-off workers ; Persistent unemployment ; Population Policies ; Poverty Reduction ; Price controls ; Public services ; Rural Development ; Rural Poverty Reduction ; Social Protections and Labor ; Unemployment benefits ; Unintended consequ ; Communities & Human Settlements ; Health, Nutrition and Population ; Housing and Human Habitats ; Income support ; Income support program ; Labor Markets ; Labor Policies ; Labor force ; Labor supply ; Laid-off workers ; Persistent unemployment ; Population Policies ; Poverty Reduction ; Price controls ; Public services ; Rural Development ; Rural Poverty Reduction ; Social Protections and Labor ; Unemployment benefits ; Unintended consequ
    Abstract: In 1993, in response to persistent unemployment, and rising poverty and social unrest, the government of Albania introduced an anti-poverty program, namely Ndihma Ekonomike; in 1995 it was extended to all poor households. This paper estimates the separate effects of participation in this income support program and the old-age pension program on objective and subjective measures of household poverty. The analysis uses the nationally representative Albanian Living Standards Measurement Surveys carried out in 2002 and 2005. Using propensity score matching methods, the paper finds that Ndihma Ekonomike households, particularly urban residents, have lower per capita consumption and are more likely to be discontented with their lives, financial situation, and consumption levels than their matched comparators. In contrast, households receiving pensions are not significantly different from their matched comparators in reference to the same set of outcomes. The paper finds that the negative impact of Ndihma Ekonomike participation on welfare is driven by a negative labor supply response among work-eligible individuals. This negative labor response is larger among women and urban residents. In contrast to Ndihma Ekonomike, the receipt of old-age pension income transfers does not significantly impact the labor supply of prime-age individuals living in pension households
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  • 44
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    Investing Back Home : Return Migration And Business Ownership In Albania (2007)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: Online-Ressource (1 online resource (36 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Kilic, Talip Investing Back Home
    Keywords: Access to Finance ; Communities & Human Settlements ; Debt Markets ; Finance and Financial Sector Development ; Health, Nutrition and Population ; Human Migrations and Resettlements ; Impact of migration ; International Migration ; Living Standards ; Migrant ; Migrants ; Policy ReseaRch ; Policy ReseaRch WoRking PaPeR ; Population Policies ; Progress ; Return Migration ; Rural development ; Social Development ; Voluntary and Involuntary Resettlement ; Access to Finance ; Communities & Human Settlements ; Debt Markets ; Finance and Financial Sector Development ; Health, Nutrition and Population ; Human Migrations and Resettlements ; Impact of migration ; International Migration ; Living Standards ; Migrant ; Migrants ; Policy ReseaRch ; Policy ReseaRch WoRking PaPeR ; Population Policies ; Progress ; Return Migration ; Rural development ; Social Development ; Voluntary and Involuntary Resettlement ; Access to Finance ; Communities & Human Settlements ; Debt Markets ; Finance and Financial Sector Development ; Health, Nutrition and Population ; Human Migrations and Resettlements ; Impact of migration ; International Migration ; Living Standards ; Migrant ; Migrants ; Policy ReseaRch ; Policy ReseaRch WoRking PaPeR ; Population Policies ; Progress ; Return Migration ; Rural development ; Social Development ; Voluntary and Involuntary Resettlement
    Abstract: In view of its increasing importance, and the dearth of information on return migration and its impacts on source households, this study uses data from the 2005 Albania Living Standards Measurement Study survey and assesses the impact of past migration experience of Albanian households on non-farm business ownership through instrumental variables regression techniques. Moreover, considering the differences in earning potentials and opportunities for skill acquisition in different destination countries, the impact of household past migration experience is differentiated by main migrant destinations, namely Greece and Italy. The study also tests for the hypothesis of the existence of migration cycles, by differentiating the time spent abroad based on the year of return. The empirical results indicate that household past migration experience exerts a positive impact on the probability of owning a non-farm business. While one additional year in Greece increases the probability of household business ownership by roughly 7 percent, a similar experience in Italy or further destinations raises the probability by over 30 percent. Although past migration experience for the period 1990-2000 is positively associated with the likelihood of owning a household enterprise, a similar impact does not materialize for the period 2001-2004. The latter finding seems suggestive of the fact that more recent migrants are yet to attain a target level of required savings and skills in order to successfully establish a new business upon return
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