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  • MPI Ethno. Forsch.  (4)
  • Regensburg UB
  • Ethn. Museum Berlin
  • 2020-2024  (4)
  • 2015-2019
  • 2010-2014
  • 2024  (4)
  • Kilic, Talip  (4)
  • Washington, D.C : The World Bank  (4)
  • Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
  • Paris : OECD Publishing.
  • Wiesbaden : Springer VS
Datasource
  • MPI Ethno. Forsch.  (4)
  • Regensburg UB
  • Ethn. Museum Berlin
Material
Language
Years
  • 2020-2024  (4)
  • 2015-2019
  • 2010-2014
Year
Publisher
  • Washington, D.C : The World Bank  (4)
  • Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
  • Paris : OECD Publishing.
  • Wiesbaden : Springer VS
  • 1
    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
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  • 2
    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
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  • 3
    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
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  • 4
    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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