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An econometric method of correcting for unit nonresponse bias in surveys

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  • Korinek, Anton
  • Mistiaen, Johan A.
  • Ravallion, Martin

Abstract

Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the data assume that the problem is ignorable within arbitrary subgroups of the population. Theory and evidence suggest that this assumption is unlikely to hold, and that household characteristics such as income systematically affect survey compliance. The authors show that this leaves a bias in the re-weighted data and they propose a method of correcting for this bias. The geographic structure of nonresponse rates allows them to identify a micro compliancefunction, which they then use to re-weight the unit-record data. An example is given for the U.S. Current Population Surveys, 1998-2004. The authors find, and correct for, a strong household income effect on response probabilities.

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Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3711.

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Date of creation: 01 Sep 2005
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Handle: RePEc:wbk:wbrwps:3711

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Keywords: Statistical&Mathematical Sciences; Economic Theory&Research; Scientific Research&Science Parks; Science Education; Environmental Economics&Policies;

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  1. Lee Lillard & James P. Smith & Finis Welch, 2004. "What Do We Really Know About Wages: The Importance of Nonreporting and Census Imputation," Labor and Demography 0404005, EconWPA.
  2. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2005. "Survey nonresponse and the distribution of income," Policy Research Working Paper Series 3543, The World Bank.
  3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  4. Philipson, Tomas, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Wiley Blackwell, vol. 64(1), pages 47-72, January.
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Cited by:
  1. Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2005. "Survey nonresponse and the distribution of income," Policy Research Working Paper Series 3543, The World Bank.
  2. Cristina Barceló, 2008. "The impact of alternative imputation methods on the measurement of income and wealth: Evidence from the Spanish survey of household finances," Banco de Espa�a Working Papers 0829, Banco de Espa�a.
  3. Vladimir Hlasny & Paolo Verme, 2013. "Top incomes and the measurement of inequality in Egypt," Working Papers 303, ECINEQ, Society for the Study of Economic Inequality.
  4. Christopher R. Bollinger & Barry T. Hirsch, 2010. "GDP & Beyond – die europäische Perspektive," Working Paper Series of the German Council for Social and Economic Data 165, German Council for Social and Economic Data (RatSWD).
  5. Christopher R. Bollinger & Barry T. Hirsch, 2013. "Is Earnings Nonresponse Ignorable?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 407-416, May.
  6. Willmarth, Blake & Turner, Robert, 2010. "Respondent Consistency in a Tournament-Style Contingent Choice Survey," Working Papers 2010-05, Department of Economics, Colgate University.

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