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Measurement Error in Long-term Retrospective Recall Surveys Of Earnings

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Author Info
John Gibson () (University of Waikato)
Bonggeun Kim (University of Waikato and Sungkyunkwan University, Korea)

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Abstract

Several recent studies in labour and population economics use retrospective surveys to substitute for the high cost and limited availability of longitudinal survey data. Although a single interview can obtain a lifetime history, inaccurate long-term recall could make such retrospective surveys a poor substitute for longitudinal surveys, especially if it induces non-classical error that makes conventional statistical corrections less effective. In this paper, we use the unique Panel Study of Income Dynamics Validation Study to assess the accuracy of long-term recall data. We find underreporting of transitory events. This recall error creates a non-classical measurement error problem. A limited cost-benefit analysis is also conducted, showing how savings from using a cheaper retrospective recall survey might be compared with the cost of applying the less accurate recall data to a specific policy objective such as designing transfers to reduce chronic poverty.

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File URL: ftp://mngt.waikato.ac.nz/RePEc/wai/econwp/0703.pdf
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Publisher Info
Paper provided by University of Waikato, Department of Economics in its series Working Papers in Economics with number 07/03.

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Length: 22 pages
Date of creation: 31 Mar 2007
Date of revision:
Handle: RePEc:wai:econwp:07/03

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Related research
Keywords: longitudinal data; measurement error; retrospective surveys;

Find related papers by JEL classification:
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search

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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. Gillian Paull, 2002. "Biases in the reporting of labour market dynamics," IFS Working Papers W02/10, Institute for Fiscal Studies. [Downloadable!]
  2. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier. [Downloadable!] (restricted)
  3. James P. Smith & Duncan Thomas, 2003. "Remembrances of things past: test-retest reliability of retrospective migration histories," Journal Of The Royal Statistical Society Series A, Royal Statistical Society, vol. 166(1), pages 23-49. [Downloadable!] (restricted)
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  4. Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July. [Downloadable!] (restricted)
  5. Bonggeun Kim & Gary Solon, 2005. "Implications of Mean-Reverting Measurement Error for Longitudinal Studies of Wages and Employment," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 193-196, December. [Downloadable!] (restricted)
  6. Chaudhuri, Shubham & Ravallion, Martin, 1994. "How well do static indicators identify the chronically poor?," Journal of Public Economics, Elsevier, vol. 53(3), pages 367-394, March. [Downloadable!] (restricted)
  7. Pischke, Jorn-Steffen, 1995. "Measurement Error and Earnings Dynamics: Some Estimates from the PSID Validation Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 305-14, July.
    Other versions:
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This page was last updated on 2009-11-27.


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