1996Faculty Digital Archive (New York University Florence)Open access

Marginal Effects in the Bivariate Probit Model

William H. Greene

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Abstract

This paper derives the marginal effects for a conditional mean function in the bivariate probit model. A general expression is given for a model which allows for sample selectivity and heteroscedasticity. The computations are illustrated using microeconomic data from a study on credit scoring.

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What this paper is about

This paper derives the marginal effects for a conditional mean function in the bivariate probit model. A general expression is given for a model which allows for sample selectivity and heteroscedasticity. The computations are illustrated using microeconomic data from a study on credit scoring.

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OpenAlex reports 60 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper derives the marginal effects for a conditional mean function in the bivariate probit model. A general expression is given for a model which allows for sample selectivity and heteroscedasticity. The computations are illustrated using microeconomic data from a study on credit scoring.

Key concepts: Multivariate probit model, Heteroscedasticity, Econometrics, Bivariate analysis, Multinomial probit, Probit model, Probit, Statistics

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