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Measuring the Well-Being of the Poor Using Income and Consumption

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  • Bruce D. Meyer
  • James X. Sullivan

Abstract

We evaluate consumption and income measures of the material well-being of the poor. We begin with conceptual and pragmatic reasons that favor income or consumption. Then, we empirically examine the quality of standard data by studying measurement error and under-reporting, and by comparing micro-data from standard surveys to administrative micro-data and aggregates. We also compare low reports of income and consumption to other measures of hardship and well-being. The closer link between consumption and well-being and its better measurement favors the use of consumption when setting benefits and evaluating transfer programs. However, income retains its convenience for determining program eligibility.

Suggested Citation

  • Bruce D. Meyer & James X. Sullivan, 2003. "Measuring the Well-Being of the Poor Using Income and Consumption," NBER Working Papers 9760, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:9760
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    1. James M. Poterba, 1991. "Is the Gasoline Tax Regressive?," NBER Chapters, in: Tax Policy and the Economy, Volume 5, pages 145-164, National Bureau of Economic Research, Inc.
    2. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    3. Richard Blundell & Ian Preston, 1998. "Consumption Inequality and Income Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 603-640.
    4. Daniel Feenberg & Elisabeth Coutts, 1993. "An introduction to the TAXSIM model," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 12(1), pages 189-194.
    5. Susan E. Mayer & Christopher Jencks, 1989. "Poverty and the Distribution of Material Hardship," Journal of Human Resources, University of Wisconsin Press, vol. 24(1), pages 88-114.
    6. Bollinger, Christopher R & David, Martin H, 2001. "Estimation with Response Error and Nonresponse: Food-Stamp Participation in the SIPP," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 129-141, April.
    7. Bollinger, Christopher R. & David, Martin H., 1993. "Modeling Food Stamp Participation In The Presence Of Reporting Errors," SSRI Workshop Series 292724, University of Wisconsin-Madison, Social Systems Research Institute.
    8. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
    9. Feldstein, Martin & Liebman, Jeffrey B. (ed.), 2002. "The Distributional Aspects of Social Security and Social Security Reform," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226241067, September.
    10. Martin Feldstein & Jeffrey B. Liebman, 2002. "The Distributional Aspects of Social Security and Social Security Reform," NBER Books, National Bureau of Economic Research, Inc, number feld02-1.
    11. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    12. Atkinson, Anthony B, 1991. "Comparing Poverty Rates Internationally: Lessons from Recent Studies in Developed Countries," The World Bank Economic Review, World Bank, vol. 5(1), pages 3-21, January.
    13. repec:mpr:mprres:1682 is not listed on IDEAS
    14. Blundell, Richard & Preston, Ian & Pistaferri, Luigi, 2002. "Partial Insurance, Information, and Consumption Dynamics," CEPR Discussion Papers 3666, C.E.P.R. Discussion Papers.
    15. David M. Cutler & Lawrence F. Katz, 1991. "Macroeconomic Performance and the Disadvantaged," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 1-74.
    16. V. J. Hotz & J. K. Scholz, "undated". "Measuring Employment and Income for Low-Income Populations with Administrative and Survey Data," Institute for Research on Poverty Discussion Papers 1224-01, University of Wisconsin Institute for Research on Poverty.
    17. Nancy Wemmerus & Kristin Porter, 1996. "An Ethnographic Analysis of Zero-Income Households in the Survey of Income and Program Participation," Mathematica Policy Research Reports fb85852141294588ad7dd0a27, Mathematica Policy Research.
    18. John Sabelhaus & Jeffrey A. Groen, 2000. "Can Permanent-Income Theory Explain Cross-Sectional Consumption Patterns?," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 431-438, August.
    19. Bound, John & Brown, Charles & Duncan, Greg J & Rodgers, Willard L, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-368, July.
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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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