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The measurement of household consumption expenditures

Author

Listed:
  • Martin Browning

    (Institute for Fiscal Studies and University of Oxford)

  • Thomas Crossley

    (Institute for Fiscal Studies and University of Essex and European University Institute)

  • Joachim K. Winter

    (Institute for Fiscal Studies and Ludwig-Maximilians-Universität München)

Abstract
Household-level data on consumer expenditures underpins a wide range of empirical research in modern economics, spanning micro- and macroeconomics. This research includes work on consumption and saving, on poverty and inequality, and on risk sharing and insurance. We review different ways in which such data can be collected or captured: traditional detailed budget surveys, less onerous survey procedures that might be included in more general surveys, and administrative or process data. We discuss the advantages and difficulties of each approach and suggest directions for future investigation.

Suggested Citation

  • Martin Browning & Thomas Crossley & Joachim K. Winter, 2014. "The measurement of household consumption expenditures," IFS Working Papers W14/07, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:14/07
    as

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    References listed on IDEAS

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    1. David Comerford & Liam Delaney & Colm Harmon, 2009. "Experimental Tests of Survey Responses to Expenditure Questions," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 419-433, December.
    2. Michael Hurd & Susann Rohwedder, 2009. "Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 435-459, December.
    3. 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.
    4. Claus Thustrup Kreiner & David Dreyer Lassen & Søren Leth-Petersen, 2014. "Measuring the Accuracy of Survey Responses Using Administrative Register Data: Evidence from Denmark," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 289-307, National Bureau of Economic Research, Inc.
    5. Liran Einav & Jonathan Levin, 2014. "The Data Revolution and Economic Analysis," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 1-24.
    6. Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
    7. Charles F. Manski & Elie Tamer, 2002. "Inference on Regressions with Interval Data on a Regressor or Outcome," Econometrica, Econometric Society, vol. 70(2), pages 519-546, March.
    8. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2012. "Married with Children: A Collective Labor Supply Model with Detailed Time Use and Intrahousehold Expenditure Information," American Economic Review, American Economic Association, vol. 102(7), pages 3377-3405, December.
    9. Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What Do We Learn from Recall Consumption Data?," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
    10. Mark Aguiar & Erik Hurst, 2007. "Life-Cycle Prices and Production," American Economic Review, American Economic Association, vol. 97(5), pages 1533-1559, December.
    11. Baugh, Brian & Ben-David, Itzhak & Park, Hoonsuk, 2013. "Disentangling Financial Constraints, Precautionary Savings, and Myopia: Household Behavior Surrounding Federal Tax Returns," Working Paper Series 2013-20, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    12. Ori Heffetz & Katrina Ligett, 2014. "Privacy and Data-Based Research," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 75-98, Spring.
    13. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 23-50, National Bureau of Economic Research, Inc.
    14. Thomas F. Crossley & Jochem Bresser & Liam Delaney & Joachim Winter, 2017. "Can Survey Participation Alter Household Saving Behaviour?," Economic Journal, Royal Economic Society, vol. 127(606), pages 2332-2357, November.
    15. Rachel Griffith & Ephraim Leibtag & Andrew Leicester & Aviv Nevo, 2009. "Consumer Shopping Behavior: How Much Do Consumers Save?," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 99-120, Spring.
    16. Winter, Joachim, 0000. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Sonderforschungsbereich 504 Publications 02-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    17. Dirk Krueger & Fabrizio Perri & Luigi Pistaferri & Giovanni L. Violante, 2010. "Cross Sectional Facts for Macroeconomists," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 1-14, January.
    18. Mike Brewer & Ben Etheridge & Cormac O’Dea, 2017. "Why are Households that Report the Lowest Incomes So Well‐off?," Economic Journal, Royal Economic Society, vol. 127(605), pages 24-49, October.
    19. Melvin Stephens Jr., 2003. ""3rd of tha Month": Do Social Security Recipients Smooth Consumption Between Checks?," American Economic Review, American Economic Association, vol. 93(1), pages 406-422, March.
    20. Orazio P. Attanasio & Guglielmo Weber, 1993. "Consumption Growth, the Interest Rate and Aggregation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 631-649.
    21. van Soest, Arthur & Hurd, Michael, 2008. "A Test for Anchoring and Yea-Saying in Experimental Consumption Data," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 126-136, March.
    22. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
    23. Ralph Koijen & Stijn Van Nieuwerburgh & Roine Vestman, 2014. "Judging the Quality of Survey Data by Comparison with "Truth" as Measured by Administrative Records: Evidence From Sweden," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 308-346, National Bureau of Economic Research, Inc.
    24. Garry Barrett & Peter Levell & Kevin Milligan, 2014. "A Comparison of Micro and Macro Expenditure Measures across Countries Using Differing Survey Methods," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 263-286, National Bureau of Economic Research, Inc.
    25. Jens Bonke & Martin Browning, 2009. "The Allocation of Expenditures within the Household: A New Survey," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 461-481, December.
    26. Stephens Melvin, 2006. "Paycheque Receipt and the Timing of Consumption," Economic Journal, Royal Economic Society, vol. 116(513), pages 680-701, July.
    27. Melvin Stephens, 2001. "The Long-Run Consumption Effects Of Earnings Shocks," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 28-36, February.
    28. Richard Blundell & Luigi Pistaferri & Ian Preston, 2008. "Consumption Inequality and Partial Insurance," American Economic Review, American Economic Association, vol. 98(5), pages 1887-1921, December.
    29. Michael D. Hurd & Daniel McFadden & Harish Chand & Li Gan & Angela Menill & Michael Roberts, 1998. "Consumption and Savings Balances of the Elderly: Experimental Evidence on Survey Response Bias," NBER Chapters, in: Frontiers in the Economics of Aging, pages 353-392, National Bureau of Economic Research, Inc.
    30. Attanasio, Orazio P & Weber, Guglielmo, 1994. "The UK Consumption Boom of the Late 1980s: Aggregate Implications of Microeconomic Evidence," Economic Journal, Royal Economic Society, vol. 104(427), pages 1269-1302, November.
    31. David A. Wise, 1998. "Frontiers in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise98-1.
    32. Martin Browning & Thomas F. Crossley, 2000. "Luxuries Are Easier to Postpone: A Proof," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 1022-1026, October.
    33. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
    34. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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