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The Measurement of Household Consumption Expenditures

Author

Listed:
  • Martin Browning

    (Department of Economics, University of Oxford, Oxford OX1 3UQ, United Kingdom)

  • Thomas F. Crossley

    () (Department of Economics, University of Essex, Colchester CO4 3SQ, United Kingdom
    Institute for Fiscal Studies, London WC1E 7AE, United Kingdom)

  • Joachim Winter

    (Department of Economics, University of Munich, Munich 80539, Germany)

Abstract

Household-level data on consumer expenditures underpin 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 F. Crossley & Joachim Winter, 2014. "The Measurement of Household Consumption Expenditures," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 475-501, August.
  • Handle: RePEc:anr:reveco:v:6:y:2014:p:475-501
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Orazio P. Attanasio & Guglielmo Weber, 1993. "Consumption Growth, the Interest Rate and Aggregation," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 631-649.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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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    Citations

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    Cited by:

    1. Andreas Fagereng & Martin B. Holm & Gisle J. Natvik, 2016. "MPC heterogeneity and household balance sheets," Discussion Papers 852, Statistics Norway, Research Department.
    2. 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.
    3. Brzozowski, Matthew & Crossley, Thomas F. & Winter, Joachim K., 2017. "A comparison of recall and diary food expenditure data," Food Policy, Elsevier, vol. 72(C), pages 53-61.
    4. repec:ris:iosjes:0067 is not listed on IDEAS
    5. Almada, Lorenzo & McCarthy, Ian M., 2017. "It's a cruel summer: Household responses to reductions in government nutrition assistance," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 45-57.
    6. Fagereng, Andreas & Halvorsen, Elin, 2017. "Imputing consumption from Norwegian income and wealth registry data," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 67-100.
    7. Melanie Lührmann & Marta Serra-Garcia & Joachim Winter, 2014. "The Impact of Financial Education on Adolescents' Intertemporal Choices," CESifo Working Paper Series 4925, CESifo Group Munich.
    8. Jonathan D. Fisher & David Johnson & Timothy Smeeding & Jeffrey P. Thompson, 2018. "Inequality in 3-D : Income, Consumption, and Wealth," Finance and Economics Discussion Series 2018-001, Board of Governors of the Federal Reserve System (U.S.).
    9. repec:spr:stmapp:v:26:y:2017:i:3:d:10.1007_s10260-016-0374-7 is not listed on IDEAS
    10. Asadul Islam & Steven Stillman & Christopher Worswick, 2016. "Can Immigrants Insure against Shocks as well as the Native-born?," CReAM Discussion Paper Series 1613, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
    11. Justine S. Hastings & Jesse M. Shapiro, 2017. "How Are SNAP Benefits Spent? Evidence from a Retail Panel," NBER Working Papers 23112, National Bureau of Economic Research, Inc.
    12. repec:oup:oxecpp:v:69:y:2017:i:4:p:939-962. is not listed on IDEAS
    13. John Ameriks & Andrew Caplin & Minjoon Lee & Matthew D. Shapiro & Christopher Tonetti, 2015. "The Wealth of Wealthholders," NBER Working Papers 20972, National Bureau of Economic Research, Inc.
    14. Palloni, Giordano, 2017. "Childhood health and the wantedness of male and female children," Journal of Development Economics, Elsevier, vol. 126(C), pages 19-32.
    15. Pier Luigi Conti & Daniela Marella & Andrea Neri, 2017. "Statistical matching and uncertainty analysis in combining household income and expenditure data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 485-505, August.

    More about this item

    Keywords

    expenditure; survey data; administrative data; measurement error;

    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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