The ordered probit model is an extension of the probit model from binary dependent variable to an ordinal dependent variable.

The ordered probit model is an extrension of the probit model. In the probit model the dependent variable is a binary variable. In the ordered probit the dependent variable is ordinal with 3 or more possibilities.

The ordered probit model is similar to the ordered logit model. The main difference is the interpretation of the coefficients. The ordered probit model cannot be consistently estimated using ordinary least squares; it is usually estimated using maximum likelihood.

Literature references;

  • Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge, Mass: MIT Press. p. 504-509.

  • Becker, William E.; Kennedy, Peter E. (1992). "A Graphical Exposition of the Ordered Probit". Econometric Theory. 8 (1): 127–131. doi:10.1017/S0266466600010781.

  • Jackman, S. (2000). Models for Ordered Outcomes. Political Science 200C. Stanford University

  • Greene, William H. (2012). Econometric Analysis (Seventh ed.). Boston: Pearson Education. pp. 827–831/726-740. ISBN 978-0-273-75356-8.

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