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Remembrances of things past: test–retest reliability of retrospective migration histories

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  • James P. Smith
  • Duncan Thomas

Abstract

Summary Matched retrospective life history data collected from the same individuals in two waves of the Malaysian Family Life Survey provide a unique opportunity to evaluate the quality of long‐term recall data in a rapidly changing developing country. Recall quality, measured by consistency of incidence and dating of moves reported 12 years apart, is higher among the better educated. Respondents better remember more salient moves, those linked with other important life events such as marriage, childbirth or a job change and moves that lasted a long time. Migrations that dim in memory as time passes are typically shorter duration or local moves, often made while the respondent was young. The dating of moves is also significantly improved when linked with other salient events. Our findings suggest concrete and practical steps that can be followed to improve the quality of retrospective life‐histories collected in field surveys.

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  • 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, February.
    • Handle: RePEc:bla:jorssa:v:166:y:2003:i:1:p:23-49
    DOI: 10.1111/1467-985X.00257
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    1. J. Behrman & T.N. Srinivasan (ed.), 1995. "Handbook of Development Economics," Handbook of Development Economics, Elsevier, edition 1, volume 3, number 4.
    2. Mathiowetz, Nancy A & Duncan, Greg J, 1988. "Out of Work, Out of Mind: Response Errors in Retrospective Reports of Unemployment," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(2), pages 221-229, April.
    3. 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.
    4. J. Behrman & T.N. Srinivasan (ed.), 1995. "Handbook of Development Economics," Handbook of Development Economics, Elsevier, edition 1, volume 3, number 3.
    5. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Bound, John & Brown, Charles & Duncan, Greg J & Rodgers, Willard L, 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 345-368, July.
    8. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
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