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Further Results on Measuring the Well-Being of the Poor Using Income and Consumption

Author

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  • Bruce D. Meyer
  • James X. Sullivan

Abstract

In the U.S., analyses of poverty rates and the effects of anti-poverty programs rely almost exclusively on income data. In earlier work (Meyer and Sullivan, 2003) we emphasized that conceptual arguments generally favor using consumption data to measure the wellbeing of the poor, and, on balance, data quality issues favor consumption in the case of single mothers. Our earlier work did not show that income and consumption differ in practice. Here we further examine data quality issues and show that important conclusions about recent trends depend on whether one uses consumption or income. Changes in the distribution of resources for single mothers differ sharply in recent years depending on whether measured by income or consumption. Measures of overall and sub-group poverty also sharply differ. In addition to examining broader populations and a longer time period, we also consider new dimensions of data quality such as survey and item nonresponse, imputation, and precision. Finally, we demonstrate the flaws in recent research that concludes that consumption and income trends are similar for disadvantaged households, and that consumption data at the bottom are of lower quality than income data.

Suggested Citation

  • Bruce D. Meyer & James X. Sullivan, 2007. "Further Results on Measuring the Well-Being of the Poor Using Income and Consumption," Working Papers 0719, Harris School of Public Policy Studies, University of Chicago.
  • Handle: RePEc:har:wpaper:0719
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    2. Bruce D. Meyer & James X. Sullivan, 2009. "Five Decades of Consumption and Income Poverty," NBER Working Papers 14827, National Bureau of Economic Research, Inc.
    3. Oster, Emily & Shoulson, Ira & Quaid, Kimberly & Dorsey, E. Ray, 2010. "Genetic adverse selection: Evidence from long-term care insurance and Huntington disease," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 1041-1050, December.
    4. Bruce D. Meyer & James X. Sullivan, 2011. "Consumption and Income Poverty Over the Business Cycle," Research in Labor Economics, in: Who Loses in the Downturn? Economic Crisis, Employment and Income Distribution, pages 51-82, Emerald Group Publishing Limited.
    5. Zilanawala, Afshin & Pilkauskas, Natasha V., 2012. "Material hardship and child socioemotional behaviors: Differences by types of hardship, timing, and duration," Children and Youth Services Review, Elsevier, vol. 34(4), pages 814-825.
    6. Jurgen Faik & Uwe Fachinger, 2013. "The decomposition of well-being categories: An application to Germany," Working Papers 307, ECINEQ, Society for the Study of Economic Inequality.
    7. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2009. "The Under-Reporting of Transfers in Household Surveys: Its Nature and Consequences," Working Papers 0903, Harris School of Public Policy Studies, University of Chicago.
    8. Müller, Philip & Schmidt, Tobias, 2015. "Identifying income and wealth-poor households in the euro area," Discussion Papers 35/2015, Deutsche Bundesbank.
    9. Shawn Fremstad, 2010. "A Modern Framework for Measuring Poverty and Basic Economic Security," CEPR Reports and Issue Briefs 2010-12, Center for Economic and Policy Research (CEPR).

    More about this item

    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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