EconPapers    
Economics at your fingertips  
 

Maximum simulated likelihood estimation of random-effects dynamic probit models with autocorrelated errors

Mark Stewart

Stata Journal, 2006, vol. 6, issue 2, 256-272

Abstract: This paper investigates using maximum simulated likelihood (MSL) estimation for random-effects dynamic probit models with autocorrelated errors. It presents and illustrates a new Stata command, redpace, for this estimator. The paper also compares using pseudorandom numbers and Halton sequences of quasirandom numbers for MSL estimation of these models. Copyright 2006 by StataCorp LP.

Keywords: redpace; simulation estimation; maximum simulated likelihood; Halton sequences; autocorrelated errors (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (55)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0106
http://www.stata-journal.com/software/sj6-2/st0106/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:6:y:2006:i:2:p:256-272

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().

 
Page updated 2025-03-31
Handle: RePEc:tsj:stataj:v:6:y:2006:i:2:p:256-272