Johnson, Paul A. (1996): A test of the normality assumption in the ordered probit model. Published in: METRON , Vol. LIV, (1996): pp. 213-221.
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Abstract
This paper presents an easily implemented test of the assumption of a normally distributed error term for the ordered probit model. As this assumption is the central maintained hypothesis in all estimation and testing based on this model, the test ought to serve as a key specification test in applied research. A small Monte Carlo experiment suggests that the test has good size and power properties.
Item Type: | MPRA Paper |
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Original Title: | A test of the normality assumption in the ordered probit model |
Language: | English |
Keywords: | Ordered Probit, Normality, Lagrange Multiplier |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities |
Item ID: | 10080 |
Depositing User: | Paul A. Johnson |
Date Deposited: | 16 Oct 2018 13:35 |
Last Modified: | 27 Sep 2019 14:42 |
References: | Amemiya, Takeshi, (1985), Advanced Econometrics, Harvard University Press, Cambridge. Becker, William E., and Peter E. Kennedy, (1992), “A Graphical Exposition of the Ordered Probit,” Econometric Theory, 8:127–31. Bera, Anil K., Carlos M. Jarque and Lung-Fei Lee, (1984), “Testing the Normality Assumption in Limited Dependent Variable Models,” International Economic Review, 25:563–578. Johnson, Norman L., and Samuel Kotz, (1970), Continuous Univariate Distributions–1, Houghtin-Mifflin, Boston. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/10080 |