From the help desk: hurdle models
| dc.creator | McDowell, Allen | |
| dc.date | 2017-04-01T20:11:35Z | |
| dc.date.accessioned | 2026-07-09T05:47:21Z | |
| dc.description | This article demonstrates that, although there is no command in Stata for fitting hurdle models, the parameters of a hurdle model can be estimated in Stata rather easily using a combination of existing commands. We also include a likelihood evaluator to be used with Stata’s ml facilities to illustrate how to fit a hurdle model using ml’s cluster(), svy, and constraints() options. | |
| dc.identifier | Other:st0040 | |
| dc.identifier | doi:10.22004/ag.econ.116071 | |
| dc.identifier | https://ageconsearch.umn.edu/record/116071/files/sjart_st0040.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/116071 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/568377 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/116071 | |
| dc.title | From the help desk: hurdle models | |
| dc.type | Text |