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

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Author Info

  • Martin H. David

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

  • Christopher R. Bollinger

    (Department of Economics, University of Kentucky, USA)

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    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.

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    File URL: http://hdl.handle.net/10.1002/jae.794
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    File URL: http://qed.econ.queensu.ca:80/jae/2005-v20.4/
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

    Volume (Year): 20 (2005)
    Issue (Month): 4 ()
    Pages: 563-569

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    Handle: RePEc:jae:japmet:v:20:y:2005:i:4:p:563-569

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    References

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    1. 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.
    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 129-41, April.
    3. 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 576-94, July.
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    Cited by:
    1. Thomas F. Crossley & Joachim K. Winter, 2013. "Asking Households About Expenditures: What Have We Learned?," NBER Working Papers 19543, National Bureau of Economic Research, Inc.
    2. Gundersen, Craig & Kreider, Brent, 2006. "Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Non-Classical Measurement Error?," Staff General Research Papers 12690, Iowa State University, Department of Economics.
    3. 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].
    4. 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.
    5. Charles Baum, 2012. "The effects of food stamp receipt on weight gained by expectant mothers," Journal of Population Economics, Springer, vol. 25(4), pages 1307-1340, October.
    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.

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