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Analysing Misleading Discrete Responses: A Logit Model Based on Misclassified Data

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  • Steven B. Caudill
  • Franklin G. Mixon

Abstract

This study presents an alternative to direct questioning and randomized response approaches to obtain survey information about sensitive issues. The approach used here is based on a logit model that can be used when survey data on the dependent variable are misclassified. The method is applied to a direct survey of undergraduate cheating behaviour. Student responses may not always be truthful. In particular, a student claiming to be a non‐cheater may actually be a cheater. The results indicate that the incidence of cheating in our sample is approximately 70% rather than the self‐reported value of 51%.

Suggested Citation

  • Steven B. Caudill & Franklin G. Mixon, 2005. "Analysing Misleading Discrete Responses: A Logit Model Based on Misclassified Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 105-113, February.
    • Handle: RePEc:bla:obuest:v:67:y:2005:i:1:p:105-113
    DOI: 10.1111/j.1468-0084.2005.00112.x
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    References listed on IDEAS

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    1. King, Gary & Murray, Christopher J. L. & Salomon, Joshua A. & Tandon, Ajay, 2003. "Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research," American Political Science Review, Cambridge University Press, vol. 97(4), pages 567-583, November.
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    Cited by:

    1. Rochelle Belkar & Waranya Pim Chanthapun & Denzil G. Fiebig, 2007. "A discrete choice model with misclassification and multiple recall periods," Discussion Papers 2007-10, School of Economics, The University of New South Wales.
    2. Adele Bergin, 2015. "Employer Changes and Wage Changes: Estimation with Measurement Error in a Binary Variable," LABOUR, CEIS, vol. 29(2), pages 194-223, June.
    3. Dye, Richard F. & McMillen, Daniel P., 2007. "Teardowns and land values in the Chicago metropolitan area," Journal of Urban Economics, Elsevier, vol. 61(1), pages 45-63, January.
    4. Franklin G. Mixon & Richard J. Cebula (ed.), 2014. "New Developments in Economic Education," Books, Edward Elgar Publishing, number 15538.
    5. Adele Bergin, 2013. "Job Changes and Wage Changes: Estimation with Measurement Error in a Binary Variable," Economics Department Working Paper Series n240-13.pdf, Department of Economics, National University of Ireland - Maynooth.
    6. Dammert, Ana C. & Galdo, Jose, 2013. "Child Labor Variation by Type of Respondent: Evidence from a Large-Scale Study," World Development, Elsevier, vol. 51(C), pages 207-220.
    7. Gardner, John & Gratton, Brian & Moen, Jon, 2018. "Re-estimating the Gainful Employment Rate of Older Men: the United States, 1870 to 1930," MPRA Paper 88729, University Library of Munich, Germany.
    8. Aller, Carlos & González Chapela, Jorge, 2013. "Misclassification of the dependent variable in a debt–repayment behavior context," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 162-172.
    9. Rigby, Dan & Burton, Michael & Balcombe, Kelvin & Bateman, Ian & Mulatu, Abay, 2015. "Contract cheating & the market in essays," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 23-37.
    10. Échevin, Damien, 2009. "Employment and Education Discrimination against Disabled Persons in Cape Verde," MPRA Paper 19497, University Library of Munich, Germany.
    11. Sarah Brown & Mark N Harris & Preety Srivastava, 2013. "Modelling Illegal Drug Participation in Australia," Bankwest Curtin Economics Centre Working Paper series WP1303, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    12. Kelvin Balcombe & Iain Fraser, 2009. "Dichotomous‐choice contingent valuation with ‘dont know’ responses and misreporting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1137-1152, November.

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