Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models
| dc.creator | Schunck, Reinhard | |
| dc.date | 2017-04-01T20:19:41Z | |
| dc.date.accessioned | 2026-07-09T10:40:37Z | |
| dc.description | Correlated random-effects (Mundlak, 1978, Econometrica 46: 69–85; Wooldridge, 2010, Econometric Analysis of Cross Section and Panel Data [MIT Press]) and hybrid models (Allison, 2009, Fixed Effects Regression Models [Sage]) are attractive alternatives to standard random-effects and fixed-effects models because they provide within estimates of level 1 variables and allow for the inclusion of level 2 variables. I discuss these models, give estimation examples, and address some complications that arise when interaction effects are included. | |
| dc.identifier | Other:st0283 | |
| dc.identifier | doi:10.22004/ag.econ.241328 | |
| dc.identifier | https://ageconsearch.umn.edu/record/241328/files/sjart_st0283.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/241328 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/620956 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/241328 | |
| dc.title | Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models | |
| dc.type | Text |