This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Estimation in Binary Choice Models with Measurement Errors

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Edgerton, David () (Department of Economics, Lund University)
Jochumzen, Peter () (Department of Economics, Lund University)

Additional information is available for the following registered author(s):

Abstract

In this paper we develop a simple maximum likelihood estimator for probit models where the regressors have measurement error. We first assume precise information about the reliability ratios (or, equivalently, the proxy correlations) of the regressors. We then show how reasonable bounds for the parameter estimates can be obtained when only imprecise information is available. The analysis is also extended to situations where the measurement error has non-zero mean and is correlated with the true values of the regressors. An extensive simulation study shows that the estimator works very well, even in quite small samples. Finally the method is applied to data explaining sick leave in Sweden.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nek.lu.se/publications/workpap/Papers/WP03_4.prg
Our checks indicate that this address may not be valid because: 404 Not Found. If this is indeed the case, please notify (David Edgerton)
File Format: text/html
File Function: Gauss program
Download Restriction: no
File URL: http://www.nek.lu.se/publications/workpap/Papers/WP03_4.pdf
File Format: application/pdf
File Function:
Download Restriction: no
File URL: http://www.nek.lu.se/publications/workpap/Papers/WP03_4.zip
File Format: application/pdf
File Function: Zipped Working Paper
Download Restriction: no

Publisher Info
Paper provided by Lund University, Department of Economics in its series Working Papers with number 2003:4.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 64 pages
Date of creation: 16 Apr 2003
Date of revision: 07 Jul 2003
Handle: RePEc:hhs:lunewp:2003_004

Note: Gauss program available
Contact details of provider:
Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund,Sweden
Phone: +46 +46 222 0000
Fax: +46 +46 2224613
Web page: http://www.nek.lu.se/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (David Edgerton).

Related research
Keywords: Measurement error; errors-in-variables; probit; binary choice; bounds;

Find related papers by JEL classification:
C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models
C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other

This paper has been announced in the following NEP Reports:

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. Klepper, Steven & Leamer, Edward E, 1984. "Consistent Sets of Estimates for Regressions with Errors in All Variables," Econometrica, Econometric Society, vol. 52(1), pages 163-83, January. [Downloadable!] (restricted)
  2. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier. [Downloadable!] (restricted)
  3. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September. [Downloadable!] (restricted)
  4. Hsiao, Cheng & Wang, Q Kevin, 2000. "Estimation of Structural Nonlinear Errors-in-Variables Models by Simulated Least-Squares Method," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(2), pages 523-42, May.
  5. Kao, Chihwa & Schnell, John F., 1987. "Errors in variables in a random-effects probit model for panel data," Economics Letters, Elsevier, vol. 24(4), pages 339-342. [Downloadable!] (restricted)
  6. Murphy, Kevin M & Topel, Robert H, 1985. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 370-79, October.
    Other versions:
Full references

Cited by:
(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. Dhawan, Rajeev & Jochumzen, Peter, 1999. "Stochastic Frontier Production Function With Errors-In-Variables," Working Papers 1999:007, Lund University, Department of Economics. [Downloadable!]
Statistics
Access and download statistics

Did you know? Authors registered on the RePEc Author Service receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2009-12-2.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.