Everything about Multivariate probit model
In statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes jointly. For example, if it is believed that the decisions of sending at least one child to public school and that of voting in favor of a school budget are correlated, then the multivariate probit model would be appropriate for jointly predicting these two choices on an individual-specific basis. J.R. Ashford and R.R. Sowden initially proposed an approach for multivariate probit analysis. Siddhartha Chib and Edward Greenberg extended this idea and also proposed simulation-based inference methods for the multivariate probit model which simplified and generalized parameter estimation. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Multivariate probit modelA 5-minute orientation
- Skim a recent paper: Psychological Help-Seeking Status for Living with Mental Health Conditions in TĂĽrkiye: Using a Multivariate Probit ModelInfluential work since 2022
- Pick up a classic book: Linear probability, logit, and probit modelsThe most-reprinted book on the subject
- Read the landmark paper: Analysis of multivariate probit modelsCited 619 times
- Go sideways: Bayesian multivariate linear regressionA closely related topic
- Go sideways: Gauss–Markov theoremA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Analysis of multivariate probit models
Testing for dependence in multivariate probit models
Estimation of Multivariate Probit Models via Bivariate Probit
Multivariate probit models for conditional claim-types
Analysis of strategic planning of Dutch pig farmers using a multivariate probit model
Application of Multivariate Probit to a Threshold Model of Grain Dryer Purchasing Decisions
Existence and Uniqueness of the Maximum Likelihood Estimator for a Multivariate Probit Model
Marginal effects in multivariate probit models
🆕 Influential since 2022
Psychological Help-Seeking Status for Living with Mental Health Conditions in TĂĽrkiye: Using a Multivariate Probit Model
Motivations for women’s participation in urban agriculture: a multivariate probit model analysis
Dynamics of multiple sustainable agricultural intensification practices adoption: Application of the intertemporal multivariate probit model
Evaluation of driver demand for in-vehicle information: An integrated method combining clustering and multivariate ordered probit model
The recursive impact in the multivariate probit model: An application on farmers’ decisions for opting risk management strategies
đź“š Books worth reading
Linear probability, logit, and probit modelsJohn Herbert Aldrich · 1984
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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