IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this book chapter or follow this series

Asking Households about Expenditures: What Have We Learned?

In: Improving the Measurement of Consumer Expenditures

  • Thomas F. Crossley
  • Joachim K. Winter

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.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nber.org/chapters/c12666.pdf
Download Restriction: no

as
in new window

This chapter was published in:
This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 12666.
Handle: RePEc:nbr:nberch:12666
Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Web page: http://www.nber.org
Email:


More information through EDIRC

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.:

as in new window
  1. Micklewright, John & Schnepf, Sylke V., 2007. "How Reliable Are Income Data Collected with a Single Question?," IZA Discussion Papers 3177, Institute for the Study of Labor (IZA).
  2. Martin Browning & S¯ren Leth-Petersen, 2003. "Imputing consumption from income and wealth information," Economic Journal, Royal Economic Society, vol. 113(488), pages F282-F301, 06.
  3. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
  4. Martin Browning & Thomas F. Crossley & Guglielmo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," Social and Economic Dimensions of an Aging Population Research Papers 77, McMaster University.
  5. David Comerford & Liam Delaney & Colm Harmon, 2009. "Experimental Tests of Survey Responses to Expenditure Questions," Working Papers 200925, Geary Institute, University College Dublin.
  6. Michael Hurd & Susann Rohwedder, 2010. "Effects of the Financial Crisis and Great Recession on American Households," Working Papers 810, RAND Corporation Publications Department.
  7. Clarke, Philip M. & Fiebig, Denzil G. & Gerdtham, Ulf-G., 2008. "Optimal recall length in survey design," Journal of Health Economics, Elsevier, vol. 27(5), pages 1275-1284, September.
  8. Essig, Lothar & Winter, Joachim, 2003. "Item nonresponse to financial questions in household surveys: An experimental study of interviewer and mode effects," Sonderforschungsbereich 504 Publications 05-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  9. McFadden, Daniel L. & Bemmaor, Albert C. & Caro, Francis G. & Dominitz, Jeff & Jun, Byung-hill & Lewbel, Arthur & Matzkin, Rosa L. & Molinari, Francesca & Schwarz, Norbert & Willis, Robert J. & Winter, 2005. "Statistical analysis of choice experiments and surveys," Munich Reprints in Economics 19251, University of Munich, Department of Economics.
  10. 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.
  11. 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.
  12. Menno Pradhan, 2009. "Welfare Analysis with a Proxy Consumption Measure: Evidence from a Repeated Experiment in Indonesia," Fiscal Studies, Institute for Fiscal Studies, vol. 30(Special I), pages 391-417, December.
  13. Adam Bee & Bruce D. Meyer & James X. Sullivan, 2012. "The Validity of Consumption Data: Are the Consumer Expenditure Interview and Diary Surveys Informative?," NBER Working Papers 18308, National Bureau of Economic Research, Inc.
  14. 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).
  15. Martin H. David & Christopher R. Bollinger, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569.
  16. Joachim Winter, 2004. "Response bias in survey-based measures of household consumption," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-12.
  17. 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.
  18. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Consumption inequality and partial insurance," IFS Working Papers W04/28, Institute for Fiscal Studies.
  19. Skinner, Jonathan, 1987. "A superior measure of consumption from the panel study of income dynamics," Economics Letters, Elsevier, vol. 23(2), pages 213-216.
  20. 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.
  21. 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.
  22. repec:ebl:ecbull:v:3:y:2004:i:9:p:1-12 is not listed on IDEAS
  23. Philipson, Tomas, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Wiley Blackwell, vol. 64(1), pages 47-72, January.
  24. Stefan Hoderlein & Joachim Winter, 2009. "Structural Measurement Errors in Nonseparable Models," Boston College Working Papers in Economics 750, Boston College Department of Economics.
  25. Garry Barrett & Peter Levell & Kevin Milligan, 2013. "A Comparison of Micro and Macro Expenditure Measures Across Countries Using Differing Survey Methods," NBER Working Papers 19544, National Bureau of Economic Research, Inc.
  26. Battistin, Erich & Padula, Mario, 2010. "Survey Instruments and the Reports of Consumption Expenditures: Evidence from the Consumer Expenditure Surveys," CEPR Discussion Papers 8051, C.E.P.R. Discussion Papers.
  27. Orazio Attanasio & Erich Battistin & Hidehiko Ichimura, 2004. "What Really Happened to Consumption Inequality in the US?," NBER Working Papers 10338, National Bureau of Economic Research, Inc.
  28. Philipson, Tomas & Malani, Anup, 1999. "Measurement errors: A principal investigator-agent approach," Journal of Econometrics, Elsevier, vol. 91(2), pages 273-298, August.
  29. 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.
  30. Matthew Brzozowski & Thomas F. Crossley, 2011. "Viewpoint: Measuring the well-being of the poor with income or consumption: a Canadian perspective," Canadian Journal of Economics, Canadian Economics Association, vol. 44(1), pages 88-106, February.
  31. Naeem Ahmed & Matthew Brzozowski & Thomas Crossley, 2006. "Measurement errors in recall food consumption data," IFS Working Papers W06/21, Institute for Fiscal Studies.
  32. 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.
  33. Frauke Kreuter & Susan McCulloch & Stanley Presser & Roger Tourangeau, 2011. "The Effects of Asking Filter Questions in Interleafed Versus Grouped Format," Sociological Methods & Research, , vol. 40(1), pages 88-104, February.
  34. Martin Browning & Thomas Crossley, 2009. "Are two cheap, noisy measures better than one expensive, accurate one?," IFS Working Papers W09/01, Institute for Fiscal Studies.
  35. Philipson, Tomas, 2001. "Data Markets, Missing Data, and Incentive Pay," Econometrica, Econometric Society, vol. 69(4), pages 1099-1111, July.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:12666. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.