Journal Article

Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation

Authors

Publication date

01 Jun 2006

Abstract

We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: mvdraws for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an egen function mvnp() for calculating the probabilities themselves. Several illustrations show how the programs may be used for maximum simulated likelihood estimation.

Published in

The Stata Journal

Volume and page numbers

6 , 156 -189

Notes

Filestore. Copy index notes from working paper record.

Related publications

1. Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation

   Lorenzo Cappellari and Stephen P. Jenkins

   ISER Working Paper Series, 2006-16 - 01 Apr 2006 - download  

2. Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation

   Lorenzo Cappellari and Stephen P. Jenkins

   ISER Working Paper Series, 2006-16 - 01 Apr 2006 - download  

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