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 a 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.
|Date of creation:||10 Jun 2010|
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- 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 9780521142373.
- Stefan Boes & Rainer Winkelmann, 2005.
"Ordered Response Models,"
SOI - Working Papers
0507, Socioeconomic Institute - University of Zurich.
- 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 ProbitModel," Discussion Papers in 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 Probit Model," Discussion Papers in Public Sector Economics 97/4, Department of Economics, University of Leicester.
- Guillaume R. Frechette, 2001. "Random-effects ordered probit," Stata Technical Bulletin, StataCorp LP, vol. 10(59).
- Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, December.
- 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.
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