Intra-class correlation in random-effects models for binary data
| dc.creator | Rodriguez, German | |
| dc.creator | Elo, Irma | |
| dc.date | 2017-04-01T15:32:33Z | |
| dc.date.accessioned | 2026-07-09T05:47:19Z | |
| dc.description | We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata’s xtprobit, xtlogit, and xtclog. We consider the usual measures of correlation based on a latent variable formulation of these models and note corrections to the last two procedures. We also discuss alternative measures of association based on manifest variables or actual outcomes and introduce a new command xtrho for computing these measures for all three types of models. | |
| dc.identifier | Other:st0031 | |
| dc.identifier | doi:10.22004/ag.econ.116030 | |
| dc.identifier | https://ageconsearch.umn.edu/record/116030/files/sjart_st0031.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/116030 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/568362 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/116030 | |
| dc.title | Intra-class correlation in random-effects models for binary data | |
| dc.type | Text |