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The Benefits of Panel Data in Consumer Expenditure Surveys

In: Improving the Measurement of Consumer Expenditures

Author Info

Listed author(s):
  • Jonathan A. Parker
  • Nicholas S. Souleles
  • Christopher D. Carroll

Abstract

This paper explains why the collection of panel (reinterview) data on a comprehensive measure of household expenditures is of great value both for measuring budget shares (the core mission of a Consumer Expenditure survey) and for the most important research and public policy uses to which CE data can be applied, including construction of spendingbased measures of poverty and inequality and estimating the effects of fiscal policy.

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This chapter was published in:
  • Christopher D. Carroll & Thomas F. Crossley & John Sabelhaus, 2015. "Improving the Measurement of Consumer Expenditures," NBER Books, National Bureau of Economic Research, Inc, number carr11-1, October.
    • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 12674.
    Handle: RePEc:nbr:nberch:12674
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    Find related papers by JEL classification:
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • G1 - Financial Economics - - General Financial Markets

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

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    1. Orazio P. Attanasio & James Banks & Sarah Tanner, 2002. "Asset Holding and Consumption Volatility," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 771-792, August.
    2. Mark Bils & Mark Aguiar, 2010. "Has Consumption Inequality Mirrored Income Inequality?," 2010 Meeting Papers 1334, Society for Economic Dynamics.
    3. Daniel Aaronson & Sumit Agarwal & Eric French, 2012. "The Spending and Debt Response to Minimum Wage Hikes," American Economic Review, American Economic Association, vol. 102(7), pages 3111-3139, December.
    4. Michael D. Hurd & Susann Rohwedder, 2013. "Measuring Total Household Spending in a Monthly Internet Survey: Evidence from the American Life Panel," NBER Chapters,in: Improving the Measurement of Consumer Expenditures, pages 365-387 National Bureau of Economic Research, Inc.
    5. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    6. Tripathi, Gautam, 2000. "Econometric Methods," Econometric Theory, Cambridge University Press, vol. 16(01), pages 139-142, February.
    7. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters,in: A Theory of the Consumption Function, pages 1-6 National Bureau of Economic Research, Inc.
    8. Attanasio, Orazio & Davis, Steven J, 1996. "Relative Wage Movements and the Distribution of Consumption," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1227-1262, December.
    9. Christopher D. Carroll & Jiri Slacalek & Martin Sommer, 2011. "International Evidence on Sticky Consumption Growth," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1135-1145, November.
    10. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    11. Bruce D. Meyer & James X. Sullivan, 2009. "Five Decades of Consumption and Income Poverty," NBER Working Papers 14827, National Bureau of Economic Research, Inc.
    12. Christopher D. Carroll, 2001. "A Theory of the Consumption Function, with and without Liquidity Constraints," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 23-45, Summer.
    13. Milton Friedman, 1957. "A Theory of the Consumption Function," NBER Books, National Bureau of Economic Research, Inc, number frie57-1, October.
    14. Karen E. Dynan, 2000. "Habit Formation in Consumer Preferences: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 90(3), pages 391-406, June.
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