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  • 2020-2024  (26)
  • Kilic, Talip  (23)
  • Iimi, Atsushi
  • Washington, D.C : The World Bank  (26)
  • 1
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    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
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    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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  • 2
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    Breadwinners and Caregivers : Examining the Global Relationship between Gender Norms and Economic Behavior (2024)
    Washington, D.C : The World Bank
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    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
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    Recording the Time Divide : A Comparative Study of Smartphone- and Recall-Based Approaches to Time Use Measurement (2024)
    Washington, D.C : The World Bank
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    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
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  • 4
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    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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  • 5
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    Agglomeration Economies and Transport Connectivity Revisited : A Regional Perspective based on Evidence from the Caucasus and Central Asian Countries (2023)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource (31 pages)
    Parallel Title: Erscheint auch als Iimi, Atsushi Agglomeration Economies and Transport Connectivity Revisited: A Regional Perspective based on Evidence from the Caucasus and Central Asian Countries
    Keywords: Dynamic Panel Data Regression ; Firm Agglomeration ; International Economics and Trade ; Local Market Accessibility ; Regional Connectivity ; Rural Development ; Rural Roads and Transport ; Trade and Regional Integration ; Trade and Transport ; Transport Connectivity ; Urban Development
    Abstract: Transport connectivity is an important determinant of agglomeration economies and urbanization. However, measuring its impacts is a complex task when causality is considered. An important empirical challenge comes from potential endogeneity of infrastructure placement. To deal with the endogeneity problem, first, the paper constructs detailed georeferenced connectivity measurements based on micro shipping data collected over 10 years. Then, the system generalized method of moments regression is applied. Using unique data from the Caucasus and Central Asian countries, the paper estimates the impact of transport connectivity on agglomeration economies. It finds that agglomeration economies are significant and persistent in the region. Thus, the existing firm clusters are likely to continue growing. However, a constraint is also found. Large cities exhibit congestion diseconomies. Finally, the paper shows that the improvement of transport connectivity, especially local market accessibility, has a significant effect on agglomeration. By contrast, no clear evidence to support the impact of improved regional connectivity on agglomeration is observed yet. To take full advantage of agglomeration economies at the regional level, further efforts may be needed, for instance, toward increasing efficiency in transportation and logistics, improving the freight load, and/or reducing the time and costs of border crossing, which add to overall transport costs and times
    DOI: 10.1596/1813-9450-10534
    URL: Deutschlandweit zugänglich
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  • 6
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    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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  • 7
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    Estimating Road Freight Transport Costs in Eastern Europe and Central Asia using Large Shipping Data (2023)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource (28 pages)
    Parallel Title: Erscheint auch als Iimi, Atsushi Estimating Road Freight Transport Costs in Eastern Europe and Central Asia using Large Shipping Data
    Keywords: International Economics and Trade ; Regional Integration ; Road Freight Rates ; Rural Development ; Rural Roads and Transport ; Shipping Charge Elasticity ; Shipping Cost Increase ; Supply Chain ; Trade and Transport
    Abstract: The recent global crises, such as the COVID-19 crisis, remind us of the importance of efficient transportation and logistics. Notably, however, even before the crises, some regions were already experiencing a gradual increase in freight costs, with more and more empty trucks observed. The paper recasts light on the question of how road freight costs are determined using large, unique shipping data from Eastern European and Central Asian countries. It finds that economies of scale are significant in both freight weight or load factor and distance. The elasticity with respect to freight weight is particularly high at about 0.3 to 1.0 in absolute terms. Thus, to contain trucking costs, it is important to maximize the load factor through freight consolidation at origins and destinations. The elasticity with respect to distance is relatively modest at 0.04 to 0.16 in absolute terms but still statistically significant, indicating that distance may not necessarily be a constraint on trade and regional integration. Trucking costs also decrease with driving speed, a proxy for efficiency of movements or road conditions. The elasticity is significant for food products (-0.03) and other consumer goods (-0.11). Finally, the paper finds that border crossing adds 3-4 percent to freight costs
    DOI: 10.1596/1813-9450-10533
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  • 8
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    Economic Sentiments and Expectations in Sub-Saharan Africa in a Time of Multiple Shocks (2023)
    Washington, D.C : The World Bank
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    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
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  • 9
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    Estimating the Demand for Informal Public Transport : Evidence from Antananarivo, Madagascar (2022)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource (42 pages)
    Parallel Title: Erscheint auch als Iimi, Atsushi Estimating the Demand for Informal Public Transport: Evidence from Antananarivo, Madagascar
    Keywords: Demand Analysis ; Energy ; Energy Production and Transportation ; Environment ; Informal Public Transport ; Informal Transportation ; Infrastructure Economics and Finance ; Pollution Management and Control ; Population Growth ; Private Participation in Infrastructure ; Traffic Congestion ; Transport Globl Knowledge and Expertise ; Urban Environment ; Urban Infrastructure ; Urban Mobility ; Urban Transport ; Urban Transportation
    Abstract: Informal public transport has been growing rapidly in many developing countries. Because urban infrastructure development tends to lag rapid population growth, informal public transport often meets the growing gap between demand and supply in urban mobility. Despite the rich literature primarily focused on formal transport modes, the informal transport sector is relatively unknown. This paper analyzes the demand behavior in the "informal" minibus sector in Antananarivo, Madagascar, taking advantage of a recent user survey of thousands of people. It finds that the demand for informal public transport is generally inelastic. Essentially, people have no other choice. While the time elasticity is estimated at -0.02 to -0.05, the price elasticity is -0.05 to -0.06 for short-distance travelers, who may have alternative choices, such as motorcycle taxi or walking. Unlike formal public transportation, the demand also increases with income. Regardless of income level, everyone uses minibuses. The estimated demand functions indicate that people prefer safety and more flexibility in transit. The paper shows that combining these improvements and fare adjustments, the informal transport sector can contribute to increasing people's mobility and reducing traffic congestion in the city
    DOI: 10.1596/1813-9450-10006
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  • 10
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    Is Dirt Cheap? : The Economic Costs of Failing to Meet Soil Health Requirements on Smallholder Farms (2022)
    Washington, D.C : The World Bank
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    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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  • 11
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    Individual Wealth Inequality : Measurement and Evidence from Low- and Middle-Income Countries (2022)
    Washington, D.C : The World Bank
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    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
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  • 12
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    Under what Conditions are Data Valuable for Development? (2021)
    Washington, D.C : The World Bank
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    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
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  • 13
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    Individual Wealth and Time Use : Evidence from Cambodia (2021)
    Washington, D.C : The World Bank
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    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
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  • 14
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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
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    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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  • 15
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    Estimating the Impact of Weather on Agriculture (2021)
    Washington, D.C : The World Bank
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    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
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  • 16
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    Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements (2021)
    Washington, D.C : The World Bank
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    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
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  • 17
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    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
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  • 18
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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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  • 19
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    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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  • 20
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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
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  • 21
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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
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  • 22
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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
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  • 23
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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
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  • 24
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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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  • 25
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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
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  • 26
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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
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