Arbeitspapier

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.

Language
Englisch

Bibliographic citation
Series: DIW Discussion Papers ; No. 584

Classification
Wirtschaft
Subject
Simulation estimation
maximum simulated likelihood
multivariate probit
Halton sequences
pseudo-random sequences
multivariate normal

Event
Geistige Schöpfung
(who)
Cappellari, Lorenzo
Jenkins, Stephen P.
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2006

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Cappellari, Lorenzo
  • Jenkins, Stephen P.
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2006

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