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How accurate are recall data? Evidence from coastal India

  • Francesca De Nicola

    ()

  • Xavier Gene

This paper investigates the accuracy of recall data by comparing administrative records with retrospective, self-reported survey responses to income and asset questions for a sample of self-employed households from coastal India. It finds that the magnitude of the recall error increases over time, in part because respondents resort to inference rather than memory. Monthly earnings that are higher than the median are also better recalled. These results have implications for the accuracy of the moments of the self-reported earnings distribution. It also finds that income earners are more accurate than their wives. In addition, the use of time cues can worsen accuracy if they are not relevant to the respondent, and the position of the recall questions in the two-hour long survey does not affect accuracy.

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Paper provided by eSocialSciences in its series Working Papers with number id:5010.

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Date of creation: Jun 2012
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Handle: RePEc:ess:wpaper:id:5010
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  1. Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working Papers 780, Princeton University, Department of Economics, Industrial Relations Section..
  2. Tversky, Amos & Kahneman, Daniel, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 1039-61, November.
  3. 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 221-29, April.
  4. Siwan Anderson, 2000. "The Economics of Roscas and Intra-Household Resource Allocation," Econometric Society World Congress 2000 Contributed Papers 1323, Econometric Society.
  5. Poterba, James M & Summers, Lawrence H, 1986. "Reporting Errors and Labor Market Dynamics," Econometrica, Econometric Society, vol. 54(6), pages 1319-38, November.
  6. Das, Jishnu & Hammer, Jeffrey & Sanchez-Paramo, Carolina, 2011. "The impact of recall periods on reported morbidity and health seeking behavior," Policy Research Working Paper Series 5778, The World Bank.
  7. Anderson, K.S. & Baland, J-M., 2000. "The Economics of Roscas and Intra-Household Resource Allocation," Discussion Paper 2000-83, Tilburg University, Center for Economic Research.
  8. 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.
  9. Delavande, Adeline & Gine, Xavier & McKenzie, David, 2009. "Measuring Subjective Expectations in Developing Countries: A Critical Review and New Evidence," Policy Research Working Paper Series 4824, The World Bank.
  10. Megan Beckett & Julie Da Vanzo & Narayan Sastry & Constantijn Panis & Christine Peterson, 2001. "The Quality of Retrospective Data: An Examination of Long-Term Recall in a Developing Country," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 593-625.
  11. Sendhil Mullainathan, 2002. "A Memory-Based Model Of Bounded Rationality," The Quarterly Journal of Economics, MIT Press, vol. 117(3), pages 735-774, August.
  12. Akee, Randall K. Q., 2007. "Errors in Self-Reported Earnings: The Role of Previous Earnings Volatility," IZA Discussion Papers 3263, Institute for the Study of Labor (IZA).
  13. Beegle, Kathleen & De Weerdt, Joachim & Friedman, Jed & Gibson, John, 2012. "Methods of household consumption measurement through surveys: Experimental results from Tanzania," Journal of Development Economics, Elsevier, vol. 98(1), pages 3-18.
  14. 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.
  15. 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.
  16. Akee, Randall, 2011. "Errors in self-reported earnings: The role of previous earnings volatility and individual characteristics," Journal of Development Economics, Elsevier, vol. 96(2), pages 409-421, November.
  17. Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012. "Reliability of recall in agricultural data," Journal of Development Economics, Elsevier, vol. 98(1), pages 34-41.
  18. Meghir, Costas & Pistaferri, Luigi, 2002. "Income Variance Dynamics and Heterogeneity," CEPR Discussion Papers 3632, C.E.P.R. Discussion Papers.
  19. John Bound & Charles Brown & Greg J. Duncan & Willard L Rodgers, 1989. "Measurement Error In Cross-Sectional and Longitudinal Labor Market Surveys: Results From Two Validation Studies," NBER Working Papers 2884, National Bureau of Economic Research, Inc.
  20. 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.
  21. Kennickell, Arthur B & Starr-McCluer, Martha, 1997. "Retrospective Reporting of Household Wealth: Evidence from the 1983-1989 Survey of Consumer Finances," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 452-63, October.
  22. John Bound & Alan B. Krueger, 1989. "The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?," NBER Working Papers 2885, National Bureau of Economic Research, Inc.
  23. 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 508-32, October.
  24. Nava Ashraf, 2009. "Spousal Control and Intra-household Decision Making: An Experimental Study in the Philippines," American Economic Review, American Economic Association, vol. 99(4), pages 1245-77, September.
  25. de Mel, Suresh & McKenzie, David J. & Woodruff, Christopher, 2009. "Measuring microenterprise profits: Must we ask how the sausage is made?," Journal of Development Economics, Elsevier, vol. 88(1), pages 19-31, January.
  26. Udry, Christopher, 1996. "Gender, Agricultural Production, and the Theory of the Household," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1010-46, October.
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