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OPSR: Ordinal Probit Switching Regression
Estimates ordinal probit switching regression models - a Heckman type selection model with an ordinal selection and continuous outcomes. Different model specifications are allowed for each treatment/regime. For more details on the method, see Wang & Mokhtarian (2024) <doi:10.1016/j.tra.2024.104072> or Chiburis & Lokshin (2007) <doi:10.1177/1536867X0700700202>.
Getting started
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Package details |
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| Author | Daniel Heimgartner [aut, cre, cph] (<https://orcid.org/0000-0002-0643-8690>), Xinyi Wang [aut] (<https://orcid.org/0000-0002-3564-9147>) |
| Maintainer | Daniel Heimgartner <d.heimgartners@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.2 |
| URL | https://github.com/dheimgartner/OPSR |
| Package repository | View on CRAN |
| Installation |
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