BIMPOISSON: Stata module to fit the bivariate mixed Poisson regression model by maximum simulated likelihood (MSL)

Stephen Jenkins and Fernando Rios-Avila ()

Statistical Software Components from Boston College Department of Economics

Abstract: bimpoisson fits the bivariate mixed Poisson regression model by maximum simulated likelihood (MSL) using the approaches proposed by Munkin and Trivedi (The Econometrics Journal, 1999). Options include: sampling function or standard MSL; pseudo-random uniform or Halton draws, antithetic acceleration, and a first-order bias correction. There are also post-estimation tools to predict conditional count probabilities and expected counts.

Language: Stata
Requires: Stata version 15
Keywords: bivariate mixed Poisson regression; maximum simulated likelihood; sampling function; count data (search for similar items in EconPapers)
Date: 2026-04-23, Revised 2026-04-24
Note: This module should be installed from within Stata by typing "ssc inst bimpoisson". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/b/bimpoisson.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bimpoisson_lf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bimpoisson2_lf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bimpoisson_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bimpoisson.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/b/bimpoisson_postestimation.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/debtrivedi.dta sample data file (application/x-stata)

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