Simulated Multivariate Random Effects Probit Models for Unbalanced Panels
Alexander Plum
German Stata Users' Group Meetings 2013 from Stata Users Group
Abstract:
This paper develops an implementation method of a simulated multivariate random-effects probit model for unbalanced panels, illustrating it by using artificial data. By mdraws, generated Halton draws are used to simulate multivariate normal probabilities with the command mvnp(). The estimator can be easily adjusted (for example, to allow for autocorrelated errors). Advantages of this simulated estimation are high accuracy and lower computation time compared with existing commands such as redpace.
Date: 2013-07-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://fmwww.bc.edu/RePEc/dsug2013/plum_DESUG2013.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:dsug13:08
Access Statistics for this paper
More papers in German Stata Users' Group Meetings 2013 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().