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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%. Copyright 2005 Blackwell Publishing Ltd.

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Bibliographic Info

Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics & Statistics.

Volume (Year): 67 (2005)
Issue (Month): 1 (02)
Pages: 105-113

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Handle: RePEc:bla:obuest:v:67:y:2005:i:1:p:105-113

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  1. Toyoda, Toshihsa & Wallace, T D, 1976. "Optimal Critical Values for Pre-Testing in Regression," Econometrica, Econometric Society, vol. 44(2), pages 365-75, March.
  2. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
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Cited by:
  1. Adele Bergin, 2013. "Job Changes and Wage Changes: Estimation with Measurement Error in a Binary Variable," Economics, Finance and Accounting Department Working Paper Series n240-13.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  2. Dammert, Ana C. & Galdo, Jose C., 2013. "Child Labor Variation by Type of Respondent: Evidence from a Large-Scale Study," IZA Discussion Papers 7446, Institute for the Study of Labor (IZA).
  3. Échevin, Damien, 2009. "Employment and Education Discrimination against Disabled Persons in Cape Verde," MPRA Paper 19497, University Library of Munich, Germany.

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