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Estimation of Multivariate Probit Models via Bivariate Probit [PDF]
The Stata Journal, 2016 In this article, I suggest the utility of fitting multivariate probit models using a chain of bivariate probit estimators. This approach is based on Stata's biprobit and suest commands and is driven by a Mata function, bvpmvp(). I discuss two potential advantages of the approach over the mvprobit command (Cappellari and Jenkins, 2003, Stata Journal 3:
John Mullahy
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The persistence of energy poverty: A dynamic probit analysis
Energy Economics, 2020This paper contributes to the growing literature on energy poverty in developing countries. We use a dynamic probit estimator on three rounds of panel data from urban Ethiopia to estimate a model of the probability of being energy poor and to investigate
Yonas Alem
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Comparing logit & probit coefficients between nested models.
Social Science Research, 2022Social scientists are often interested in seeing how the estimated effects of variables change once other variables are controlled for. For example, a simple analysis may reveal that income differs by race - but why does it differ?
Richard Williams, Abigail Jorgensen
semanticscholar +1 more source
The use of logit and probit models in strategic management research: Critical issues
Strategic Management Journal, 2007Glenn Hoetker
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Interaction terms in logit and probit models
Economics Letters, 2003Chunrong Ai, Edward C Norton
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International Journal of Environmental Research and Public Health, 2019 The existing studies on drivers’ injury severity include numerous statistical models that assess potential factors affecting the level of injury. These models should address specific concerns tailored to different crash characteristics.
Feng Chen, Xiaoxiang
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Analytic Methods in Accident Research, 2018
This paper employs a correlated random parameters ordered probit modeling framework to explore time-variant and time-invariant factors affecting injury-severity outcomes in single-vehicle accidents.
Grigorios Fountas +2 more
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This paper employs a correlated random parameters ordered probit modeling framework to explore time-variant and time-invariant factors affecting injury-severity outcomes in single-vehicle accidents.
Grigorios Fountas +2 more
exaly +2 more sources