Estimating ordered categorical variables using panel data: a generalized ordered probit model with an autofit procedure
Estimation procedures for ordered categories usually assume that the estimated coefficients of independent variables do not vary between the categories (parallel-lines assumption). This view neglects possible heterogeneous effects of some explaining factors. This paper describes the use of an autofit option for identifying variables that meet the parallel-lines assumption when estimating random effects generalized ordered probit model. We combine the test procedure developed by Richard Williams (gologit2) with the random effects estimation command regoprob by Stefan Boes.
Volume (Year): 54 (2011)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: Avenue Louise, 1050 Brussels|
Phone: +32 2271 9482
Fax: +32 2271 9480
Web page: http://www.eeri.eu/index.htm
More information through EDIRC
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.:
- Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521142373, Diciembre.
- Guillaume R. Frechette, 2001. "Random-effects ordered probit," Stata Technical Bulletin, StataCorp LP, vol. 10(59).
- Stephen Pudney & Michael Shields, 2000.
"Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 15(4), pages 367-399.
- Stephen Pudney & Michael Shields, "undated". "Gender, Race, Pay and Promotion in the British Nursing Profession: Estimation of a Generalised Ordered Probit Model," Discussion Papers in Public Sector Economics 97/4, Department of Economics, University of Leicester.
- Stephen Pudney & Michael Shields, "undated". "Gender, Race, Pay and Promotion in the British Nursing Profession Estimation of a Generalised Ordered ProbitModel," Discussion Papers in Economics 97/4, Department of Economics, University of Leicester.
- Stefan Boes & Rainer Winkelmann, 2006. "Ordered response models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 167-181, March.
- Stefan Boes & Rainer Winkelmann, 2005. "Ordered Response Models," SOI - Working Papers 0507, Socioeconomic Institute - University of Zurich.
- William H. Greene & Mark N. Harris & Bruce Hollingworth & Pushkar Maitra, 2008. "A Bivariate Latent Class Correlated Generalized Ordered Probit Model with an Application to Modeling Observed Obesity Levels," Working Papers 08-18, New York University, Leonard N. Stern School of Business, Department of Economics.
- Christian Pfarr & Andreas Schmid & Udo Schneider, 2010. "REGOPROB2: Stata module to estimate random effects generalized ordered probit models (update)," Statistical Software Components S457153, Boston College Department of Economics.
- Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, Diciembre. Full references (including those not matched with items on IDEAS)