Chapter 13
Identification and MCMC Estimation of Bivariate Probit Models with Partial Observability
Summary
This chapter contains sections titled:
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Introduction
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Bivariate Probit Model
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Identification in a Partially Observable Model
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Monte Carlo Simulations
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Bayesian Methodology
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Application
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Conclusion
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Appendix
Citing Literature
Number of times cited according to CrossRef: 2
- Arturas Rozenas, Shahryar Minhas, John Ahlquist, Modeling Asymmetric Relationships from Symmetric Networks, Political Analysis, 10.1017/pan.2018.41, 27, 2, (231-236), (2018).
- Hirofumi Miwa, Partial Observability Probit Models and Its Extension in Political Science:, Kodo Keiryogaku (The Japanese Journal of Behaviormetrics), 10.2333/jbhmk.43.113, 43, 2, (113-128), (2016).
