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  • MPI Ethno. Forsch.  (3)
  • Kilic, Talip  (3)
  • Washington, D.C : The World Bank  (3)
  • Information and Communication Technologies  (3)
  • 1
    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
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  • 2
    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
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  • 3
    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)
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