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Identification Of The Binary Choice Model With Misclassification

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Author Info
Lewbel, Arthur

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Abstract

Misclassification in binary choice (binomial response) models occurs when the dependent variable is measured with error, that is, when an actual one response is sometimes recorded as a zero and vice versa. This paper shows that binary response models with misclassification are semiparametrically identified, even when the probabilities of misclassification depend in unknown ways on model covariates and the distribution of the errors is unknown.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 16 (2000)
Issue (Month): 04 (August)
Pages: 603-609
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:etheor:v:16:y:2000:i:04:p:603-609_16

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Brown, James N & Light, Audrey, 1992. "Interpreting Panel Data on Job Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 219-57, July. [Downloadable!] (restricted)
  2. Andrews, Donald W.K., 1995. "Nonparametric Kernel Estimation for Semiparametric Models," Econometric Theory, Cambridge University Press, vol. 11(03), pages 560-586, June. [Downloadable!]
  3. 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. [Downloadable!] (restricted)
  4. repec:cup:etheor:v:11:y:1995:i:3:p:560-96 is not listed on IDEAS
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Beresteanu, Arie & Molinari, Francesca, 2006. "Asymptotic Properties for a Class of Partially Identified Models," Working Papers 06-07, Cornell University, Center for Analytic Economics. [Downloadable!]
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  2. Sheng Guo, 2009. "Switching Regression Estimates of EIS for Stockholders and Non-Stockholders," Working Papers 0903, Florida International University, Department of Economics. [Downloadable!]
  3. Peter Moffatt & Simon Peters, 2001. "Testing for the Presence of a Tremble in Economic Experiments," Experimental Economics, Springer, vol. 4(3), pages 221-228, December. [Downloadable!] (restricted)
  4. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics. [Downloadable!]
    Other versions:
  5. Arthur Lewbel, 2004. "Estimation of Average Treatment Effects With Misclassification," Econometric Society 2004 North American Winter Meetings 210, Econometric Society. [Downloadable!]
    Other versions:
  6. Eivind Bernhardsen & Bjorne Dyre Syversten, 2009. "Stress Testing the Enterprise Sector's Bank Debt: A Micro Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 111-138, September. [Downloadable!]
  7. Arrieta, Alejandro, 2007. "A Structural Misclassifcation Model to Estimate the Impact of Physician Incentives on Healthcare Utilization," MPRA Paper 6718, University Library of Munich, Germany. [Downloadable!]
  8. Donald S. Kenkel & Dean R. Lillard & Alan D. Mathios, 2004. "Accounting for misclassification error in retrospective smoking data," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1031-1044. [Downloadable!]
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