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I didn't tell, and I won't tell: dynamic response error in the SIPP

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  • Martin H. David

    (Joint Program for Survey Methodology, University of Maryland, USA)

  • Christopher R. Bollinger

    (Department of Economics, University of Kentucky, USA)

Abstract

Using state administrative records matched to the 1984 Survey of Income and Program Participation, we examine intertemporal relationships in response errors. False negative errors in reporting food stamps are highly correlated across interviews for the same household. Hypotheses that the error process can be explained by learning behaviour are not supported. Bivariate probit of response error in two periods reveals that responses to covariates are stable over time and the latent error terms are positively correlated. These findings support the hypothesis that respondents have a latent tendency to cooperate (or not cooperate) with surveys. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Martin H. David & Christopher R. Bollinger, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569.
  • Handle: RePEc:jae:japmet:v:20:y:2005:i:4:p:563-569
    DOI: 10.1002/jae.794
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    References listed on IDEAS

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    1. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    2. Bollinger, Christopher R & David, Martin H, 2001. "Estimation with Response Error and Nonresponse: Food-Stamp Participation in the SIPP," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 129-141, April.
    3. Greenberg, David & Halsey, Harlan, 1983. "Systematic Misreporting and Effects of Income Maintenance Experiments on Work Effort: Evidence from the Seattle-Denver Experiment," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 380-407, October.
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    Cited by:

    1. Charles Baum, 2012. "The effects of food stamp receipt on weight gained by expectant mothers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1307-1340, October.
    2. Craig Gundersen & Brent Kreider, 2008. "Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 352-382.
    3. Himelein,Kristen, 2015. "Interviewer effects in subjective survey questions: evidence from Timor-Leste," Policy Research Working Paper Series 7208, The World Bank.
    4. Brizmohun, Roshini & Duffy, Patricia A., 2016. "Do Personal Attitudes about Welfare Influence Food Stamp Participation?," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235698, Agricultural and Applied Economics Association.
    5. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters,in: Improving the Measurement of Consumer Expenditures, pages 23-50 National Bureau of Economic Research, Inc.
    6. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
    7. Kruppe, Thomas & Matthes, Britta & Unger, Stefanie, 2014. "Effectiveness of data correction rules in process-produced data : the case of educational attainment," IAB Discussion Paper 201415, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Andrea Neri & Roberta Zizza, 2010. "Income reporting behaviour in sample surveys," Temi di discussione (Economic working papers) 777, Bank of Italy, Economic Research and International Relations Area.

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