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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 Institute for Fiscal Studies, University of Essex)

  • 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
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    File URL: http://www.ifs.org.uk/wps/wp201407.pdf
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
    6. 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.
    7. 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.
    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. 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.
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    Citations

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    Cited by:

    1. 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.
    2. repec:ris:iosjes:0067 is not listed on IDEAS
    3. Andreas Fagereng & Martin B. Holm & Gisle J. Natvik, 2016. "MPC heterogeneity and household balance sheets," Discussion Papers 852, Statistics Norway, Research Department.
    4. 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.).
    5. repec:spr:stmapp:v:26:y:2017:i:3:d:10.1007_s10260-016-0374-7 is not listed on IDEAS
    6. repec:oup:oxecpp:v:69:y:2017:i:4:p:939-962. is not listed on IDEAS
    7. Palloni, Giordano, 2017. "Childhood health and the wantedness of male and female children," Journal of Development Economics, Elsevier, vol. 126(C), pages 19-32.
    8. repec:eee:jeborg:v:143:y:2017:i:c:p:45-57 is not listed on IDEAS
    9. repec:eee:jfpoli:v:72:y:2017:i:c:p:53-61 is not listed on IDEAS
    10. Islam, Asadul & Stillman, Steven & Worswick, Christopher, 2016. "Can Immigrants Insure against Shocks as Well as the Native-born?," IZA Discussion Papers 10063, Institute for the Study of Labor (IZA).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    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

    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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