MVPROBIT: Stata module to calculate multivariate probit regression using simulated maximum likelihood
mvprobit estimates M-equation probit models, by the method of simulated maximum likelihood (SML). (Cf. probit and biprobit which estimate 1-equation and 2-equation probit models by maximum likelihood.) The variance-covariance matrix of the cross-equation error terms has values of 1 on the leading diagonal, and the off-diagonal elements are correlations to be estimated. mvprobit uses the Geweke-Hajivassiliou-Keane (GHK) simulator to evaluate the M-dimensional Normal integrals in the likelihood function. For each observation, a likelihood contribution is calculated for each replication, and the simulated likelihood contribution is the average of the values derived from all the replications. The simulated likelihood function for the sample as a whole is then maximized using standard methods (ml in this case).
|Requires:||Stata version 7.0|
|Date of creation:||22 May 2003|
|Date of revision:||25 Jan 2006|
|Note:||This module may be installed from within Stata by typing "ssc install mvprobit". Windows users should not attempt to download these files with a web browser.|
|Contact details of provider:|| Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s432601. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.