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! ]

A Note on the Correlated Random Coefficient Model

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christophe Kolodziejczyk (Department of Economics, University of Copenhagen)

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

Abstract

In this note we derive the bias of the OLS estimator for a correlated random coefficient model with one random coefficient, but which is correlated with a binary variable. We provide set-identification to the parameters of interest of the model. We also show how to reduce the bias of the estimator.

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.econ.ku.dk/CAM/Files/workingpapers/2006/2006-10.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics in its series CAM Working Papers with number 2006-10.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 8 pages
Date of creation: Aug 2006
Date of revision:
Handle: RePEc:kud:kuieca:2006_10

Contact details of provider:
Postal: Øster Farimagsgade 5, Building 26, DK-1353 Copenhagen K., Denmark
Phone: (45) 35 32 30 74
Fax: +45 35 32 30 00
Web page: http://www.econ.ku.dk/CAM/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Henriette Aabo Hansen).

Related research
Keywords: correlated random coefficient model; bias; discrete choice;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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. Wooldridge, Jeffrey M., 2003. "Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model," Economics Letters, Elsevier, vol. 79(2), pages 185-191, May. [Downloadable!] (restricted)
  2. Martin Browning & Valérie Lechene, 2003. "Children and Demand: Direct and Non-Direct Effects," Review of Economics of the Household, Springer, vol. 1(1), pages 9-31, January. [Downloadable!] (restricted)
    Other versions:
  3. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-60, September.
    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. Christophe Kolodziejczyk, 2006. "Retirement and Fixed Costs to Work: An Empirical Analysis," CAM Working Papers 2006-09, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
Statistics
Access and download statistics

Did you know? It is the publishers that input data about their publications, as there is no staff at RePEc.

This page was last updated on 2009-11-30.

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.