EconPapers    
Economics at your fingertips  
 

MAXIMUM SIMULATED LIKELIHOOD: A BRIEF INTRODUCTION FOR PRACTITIONERS

Carlos Arias and Thomas L. Cox

No 12662, Staff Papers from University of Wisconsin-Madison, Department of Agricultural and Applied Economics

Abstract: This paper discusses the increasing importance of probability simulation methods in the context of Maximum Simulated Likelihood. Three probability simulators are analyzed following their chronological order of appearance. This analysis provides an intuitive approach to the basic idea behind probability simulation, the successive improvements and probable future developments. The paper pays special attention to the role of simulation noise in Maximum Simulated Likelihood.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 17
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://ageconsearch.umn.edu/record/12662/files/stpap421.pdf (application/pdf)

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:ags:wisagr:12662

DOI: 10.22004/ag.econ.12662

Access Statistics for this paper

More papers in Staff Papers from University of Wisconsin-Madison, Department of Agricultural and Applied Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-04-03
Handle: RePEc:ags:wisagr:12662