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  • 2020-2024  (5)
  • Kilic, Talip  (5)
  • International Finance Corporation
  • Washington, D.C : The World Bank  (5)
  • Household Survey  (5)
  • 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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    Online Resource
    MPI Ethno. Forsch.
  • 2
    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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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    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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    Online Resource
    MPI Ethno. Forsch.
  • 4
    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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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    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
    URL: Deutschlandweit zugänglich
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    Online Resource
    MPI Ethno. Forsch.
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