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Response bias in survey-based measures of household consumption

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Author Info
Joachim Winter () (University of Mannheim)

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Abstract

An important aspect of household surveys is the design of consumption questions. A controlled experiment shows that a single question on total monthly nondurables expenditure and a design with 35 disaggregated categories produce different results. These differences vary with household characteristics.

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File URL: http://www.economicsbulletin.com/2004/volume3/EB-03C80001A.pdf
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Publisher Info
Article provided by Economics Bulletin in its journal Economics Bulletin.

Volume (Year): 3 (2004)
Issue (Month): 9 ()
Pages: 1-12
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ebl:ecbull:v:3:y:2004:i:9:p:1-12

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Related research
Keywords: consumption; survey methodology;

Find related papers by JEL classification:
C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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.:

  1. Lanjouw, Jean Olson & Lanjouw, Peter, 2001. "How to Compare Apples and Oranges: Poverty Measurement Based on Different Definitions of Consumption," Review of Income and Wealth, Blackwell Publishing, vol. 47(1), pages 25-42, March. [Downloadable!] (restricted)
  2. Michael D. Hurd & Daniel McFadden & Harish Chand & Li Gan & Angela Menill & Michael Roberts, 1998. "Consumption and Savings Balances of the Elderly: Experimental Evidence on Survey Response Bias," NBER Chapters, in: Frontiers in the Economics of Aging, pages 353-392 National Bureau of Economic Research, Inc. [Downloadable!]
  3. Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What do we learn from recall consumption data?," Temi di discussione (Economic working papers) 466, Bank of Italy, Economic Research Department. [Downloadable!]
    Other versions:
  4. Martin Browning & Thomas F. Crossley & Gugliemo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," CAM Working Papers 2002-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
    Other versions:
  5. Bruce D. Meyer & James X. Sullivan, 2003. "Measuring the Well-Being of the Poor Using Income and Consumption," NBER Working Papers 9760, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Winter, Joachim, 0000. "Design effects in survey-based measures of household consumption," Sonderforschungsbereich 504 Publications 02-34, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  7. Menno Pradhan, 2001. "Welfare Analysis with a Proxy Consumption Measure – Evidence from a Repeated Experiment in Indonesia," Tinbergen Institute Discussion Papers 01-092/2, Tinbergen Institute. [Downloadable!]
  8. 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. [Downloadable!]
Full references

Cited by:
(explanations, 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.)

  1. Martin Browning & Thomas F. Crossley & Gugliemo Weber, 2002. "Asking Consumption Questions in General Purpose Surveys," CAM Working Papers 2002-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
    Other versions:
  2. Giuseppe De Luca & Franco Peracchi, 2007. "A sample selection model for unit and item nonresponse in cross-sectional surveys," CEIS Research Paper 95, Tor Vergata University, CEIS. [Downloadable!]
  3. Lothar Essig, 2005. "Imputing total expenditures from a non-exhaustive list of items: An empirical assessment using the SAVE data set," MEA discussion paper series 05081, Mannheim Research Institute for the Economics of Aging (MEA), University of Mannheim. [Downloadable!]
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This page was last updated on 2009-12-12.

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