Probit model

Known as: Probit analysis, Probit regression 
In statistics, a probit model is a type of regression where the dependent variable can only take two values, for example married or not married. The… (More)
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Topic mentions per year

Topic mentions per year

1947-2018
05010019472017

Papers overview

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Highly Cited
2010
Highly Cited
2010
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of… (More)
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Highly Cited
2007
Highly Cited
2007
Abstract. This paper explains why computing the marginal effect of a change in two variables is more complicated in nonlinear… (More)
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Highly Cited
2007
Highly Cited
2007
We discuss the application of the GHK simulation method for maximum likelihood estimation of the multivariate probit regression… (More)
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Highly Cited
2006
Highly Cited
2006
1. Page 86 as part of the discussion of the robust option, logit and probit were switched. It should read: " For example, if the… (More)
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Highly Cited
2006
Highly Cited
2006
It is well known in the statistics literature that augmenting binary and polychotomous response models with gaussian latent… (More)
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Highly Cited
2003
Highly Cited
2003
The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group… (More)
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Highly Cited
2003
Highly Cited
2003
Statistical inference in multinomial multiperiod probit models has been hindered in the past by the high dimensional numerical… (More)
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2002
2002
A Bayesian probit model with individual effects that exhibit spatial dependencies is set forth. Since probit models are often… (More)
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Highly Cited
1994
Highly Cited
1994
We develop new methods for conducting a finite sample, likelihood-based analysis of the multinomial probit model. Using a variant… (More)
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1991
1991
Random utility models often involve terms which represent alternative-specific errors, and the main attractive feature of the… (More)
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