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Annualizing Labor Market, Inequality, and Poverty Indicators

Author

Listed:
  • Eduardo Lora
  • Miguel Benítez
  • Diego Gutiérrez

Abstract

Widely, 12-month or 4-quarter average labor market, inequality and poverty indicators computed from repeated cross sections of household surveys are interpreted as annual. This is a valid interpretation only when several very specific criteria are met. Annual measures of indicators such as labor participation rates differ from their 12-month- or quarterly averages except when those who participate in a month or quarter also participate the other 11 months or three quarters. The same apply to unemployment rates and poverty rates. We propose several methods to accurately annualize sub-annual data. Some rely on ancillary questions often included in household surveys, others require econometric techniques such as predictive mean matching. Using data for Colombia we present annual measures of labor participation, occupation, unemployment, per capita labor income, average per capita household income, the Gini coefficients of labor income and per-capita household income, and moderate and extreme poverty rates.

Suggested Citation

  • Eduardo Lora & Miguel Benítez & Diego Gutiérrez, 2021. "Annualizing Labor Market, Inequality, and Poverty Indicators," Commitment to Equity (CEQ) Working Paper Series 113, Tulane University, Department of Economics.
    • Handle: RePEc:tul:ceqwps:113
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    References listed on IDEAS

    as
    1. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    2. Bierbaum, Mira & Gassmann, Franziska, 2012. "Chronic and transitory poverty in the Kyrgyz Republic: What can synthetic panels tell us?," MERIT Working Papers 2012-064, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Rubin, Donald B, 1986. "Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 87-94, January.
    4. Angus Deaton & Margaret Grosh, 1998. "Designing Household Survey Questionnaires for Developing Countries Lessons from Ten Years of LSMS Experience, Chapter 17: Consumption," Working Papers 218, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    5. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 287-296, July.
    6. Kashi Kafle & Kevin McGee & Alemayehu Ambel & Ilana Seff, 2017. "Once Poor always Poor? Exploring Consumption- and Asset-based Poverty Dynamics in Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 25(2), May.
    7. repec:pri:rpdevs:deaton_grosh_consumption is not listed on IDEAS
    8. Jolliffe,Dean Mitchell & Serajuddin,Umar & Jolliffe,Dean Mitchell & Serajuddin,Umar, 2015. "Estimating poverty with panel data, comparably : an example from Jordan," Policy Research Working Paper Series 7373, The World Bank.
    9. Angus Deaton, 2003. "Household Surveys, Consumption, and the Measurement of Poverty," Economic Systems Research, Taylor & Francis Journals, vol. 15(2), pages 135-159.
    10. Little, Roderick J A, 1988. "Missing-Data Adjustments in Large Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 300-301, July.
    11. Hai-Anh H. Dang & Andrew L. Dabalen, 2019. "Is Poverty in Africa Mostly Chronic or Transient? Evidence from Synthetic Panel Data," Journal of Development Studies, Taylor & Francis Journals, vol. 55(7), pages 1527-1547, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    annualization; employment; income distribution; income poverty; Gini coefficient; labor income; labor participation; poverty; unemployment;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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