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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.

Suggested Citation

  • Korinek, Anton & Mistiaen, Johan A. & Ravallion, Martin, 2005. "An econometric method of correcting for unit nonresponse bias in surveys," Policy Research Working Paper Series 3711, The World Bank.
  • Handle: RePEc:wbk:wbrwps:3711
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Lillard, Lee & Smith, James P & Welch, Finis, 1986. "What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 489-506, June.
    3. Tomas Philipson, 1997. "Data Markets and the Production of Surveys," Review of Economic Studies, Oxford University Press, vol. 64(1), pages 47-72.
    4. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 33-55, April.
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    Citations

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    Cited by:

    1. 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.
    2. repec:spr:soinre:v:135:y:2018:i:1:d:10.1007_s11205-016-1498-8 is not listed on IDEAS
    3. Martin Ravallion, 2015. "The Luxembourg Income Study," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(4), pages 527-547, December.
    4. 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.
    5. Vladimir Hlasny & Paolo Verme, 2017. "The impact of top incomes biases on the measurement of inequality in the United States," Working Papers 452, ECINEQ, Society for the Study of Economic Inequality.
    6. Cristina Barceló, 2008. "The impact of alternative imputation methods on the measurement of income and wealth: Evidence from the Spanish survey of household finances," Working Papers 0829, Banco de España;Working Papers Homepage.
    7. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 33-55, April.
    8. Kiendrebeogo,Youssouf & Ianchovichina,Elena & Kiendrebeogo,Youssouf & Ianchovichina,Elena, 2016. "Who supports violent extremism in developing countries ? analysis of attitudes based on value surveys," Policy Research Working Paper Series 7691, The World Bank.
    9. Willmarth, Blake & Turner, Robert, 2010. "Respondent Consistency in a Tournament-Style Contingent Choice Survey," Working Papers 2010-05, Department of Economics, Colgate University.
    10. 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).
    11. Stephen D. Younger & Artsvi KhachatryanÂ…, 2017. "Fiscal Incidence in Armenia," Commitment to Equity (CEQ) Working Paper Series 43, Tulane University, Department of Economics.

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

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