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

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.

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Year of publication:	2006
Authors:	Cappellari, Lorenzo ; Jenkins, Stephen P.
Publisher:	Berlin : Deutsches Institut für Wirtschaftsforschung (DIW)
Subject:	Simulation estimation \| maximum simulated likelihood \| multivariate probit \| Halton sequences \| pseudo-random sequences \| multivariate normal

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Series:	DIW Discussion Papers ; 584
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	512766576 [GVK] hdl:10419/18477 [Handle] RePEc:diw:diwwpp:dp584 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010260956