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Asking Households about Expenditures: What Have We Learned?

In: Improving the Measurement of Consumer Expenditures

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  • Thomas F. Crossley
  • Joachim K. Winter

Abstract

When designing household surveys, including surveys that measure consumption expenditure, numerous choices need to be made. Which survey mode should be used? Do recall questions or diaries provide more reliable expenditure data? How should the concept of a household be defined? How should the length of the recall period, the level of aggregation of expenditure items, and the response format be chosen? How are responses affected by incentives? Can computer-assisted surveys be used to reduce or correct response error in real time? In this paper, we provide a selective review of the literature on these questions. We also suggest some promising directions for future research.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberch:12666
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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.
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    4. 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.
    5. John Micklewright & Sylke V. Schnepf, 2010. "How reliable are income data collected with a single question?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 409-429.
    6. Pudney, Stephen, 2008. "Heaping and leaping: survey response behaviour and the dynamics of self-reported consumption expenditure," ISER Working Paper Series 2008-09, Institute for Social and Economic Research.
    7. Lothar Essig & Joachim K. Winter, 2009. "Item Non-Response to Financial Questions in Household Surveys: An Experimental Study of Interviewer and Mode Effects," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 367-390, December.
    8. 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.
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    15. Adam Bee & Bruce D. Meyer & James X. Sullivan, 2013. "The Validity of Consumption Data: Are the Consumer Expenditure Interview and Diary Surveys Informative?," NBER Chapters,in: Improving the Measurement of Consumer Expenditures, pages 204-240 National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. John Bagnall & David Bounie & Kim P. Huynh & Anneke Kosse & Tobias Schmidt & Scott Schuh, 2016. "Consumer Cash Usage: A Cross-Country Comparison with Payment Diary Survey Data," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 1-61, December.
    2. Adam Bee & Bruce D. Meyer & James X. Sullivan, 2013. "The Validity of Consumption Data: Are the Consumer Expenditure Interview and Diary Surveys Informative?," NBER Chapters,in: Improving the Measurement of Consumer Expenditures, pages 204-240 National Bureau of Economic Research, Inc.
    3. Alice sanwald & Engelbert Theurl, 2014. "What drives out-of pocket health expenditures of private households? - Empirical evidence from the Austrian household budget survey," Working Papers 2014-04, Faculty of Economics and Statistics, University of Innsbruck.
    4. Lührmann, Melanie & Serra-Garcia, Marta & Winter, Joachim, 2015. "Teaching teenagers in finance: Does it work?," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 160-174.
    5. Winter, Joachim & Lührmann, Melanie & Serra Garcia, Marta, 2013. "The effects of financial literacy training: Evidence from a field experiment in German high schools," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79744, Verein für Socialpolitik / German Economic Association.

    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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