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Bracketing effects in categorized survey questions and the measurement of economic quantities

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  • Winter, Joachim

    ()
    (Mannheim Research Institute for the Economics of Aging (MEA))

Abstract

In households surveys, quantities of interest are frequently elicited using categorized (range-card) formats rather than open-ended questions. One advantage of this format is that is typically reduces item non-response. Unfortunately, results from research in social psychology suggest that the choice of bracket values in range-card questions is likely to influence responses. As yet, there is not much known about the effects of bracketing bias on the measurement of economic quantities and regression analysis. This paper reports evidence on existence and size of bracketing bias based on data from controlled survey experiments. I also discuss strategies for avoiding bracketing bias in household surveys.

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Bibliographic Info

Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 02-35.

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Length: 35 pages
Date of creation: 00 0000
Date of revision:
Handle: RePEc:xrs:sfbmaa:02-35

Note: Financial support was provided by the European Union (TMR project
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References

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  1. Vazquez-Alvarez, R. & Melenberg, B. & Soest, A.H.O. van, 1999. "Bounds on Quantiles in the Presence of Full and Partial Item Nonresponse," Discussion Paper 1999-38, Tilburg University, Center for Economic Research.
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Citations

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Cited by:
  1. Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
  2. Enrico D’Elia & Bianca Martelli, 2003. "Estimation of Households Income from Bracketed Income Survey Data," ISAE Working Papers 35, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  3. 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.
  4. Joachim Winter, 2004. "Response bias in survey-based measures of household consumption," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-12.
  5. Lothar Essig, 2005. "Methodological aspects of the SAVE data set," MEA discussion paper series 05080, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  6. Toepoel, V. & Vis, C.M. & Das, J.W.M. & Soest, A.H.O. van, 2006. "Design of Web Questionnaires: An Information Processing Perspective for the Effect of Response Categories," Discussion Paper 2006-19, Tilburg University, Center for Economic Research.
  7. repec:ebl:ecbull:v:3:y:2004:i:9:p:1-12 is not listed on IDEAS
  8. 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.
  9. Melanie Lührmann & Matthias Weiss, 2006. "Market Work, Home Production, Consumer Demand and Unemployment among the Unskilled," MEA discussion paper series 06101, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
  10. Stocké, Volker, 2003. "Informationsverfügbarkeit und Response-Effects:," Sonderforschungsbereich 504 Publications 03-25, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim.
  11. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures National Bureau of Economic Research, Inc.

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