simsum: Analyses of simulation studies including Monte Carlo error
Ian White
Stata Journal, 2010, vol. 10, issue 3, 369-385
Abstract:
A new Stata command, simsum, analyzes data from simulation studies. The data may comprise point estimates and standard errors from several analysis methods, possibly resulting from several different simulation settings. simsum can report bias, coverage, power, empirical standard error, relative precision, average model-based standard error, and the relative error of the standard error. Monte Carlo errors are available for all of these estimated quantities. Copyright 2010 by StataCorp LP.
Keywords: simsum; simulation; Monte Carlo error; normal approximation; sandwich variance (search for similar items in EconPapers)
Date: 2010
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj10-3/st0200/
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0200 link to article download
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:10:y:2010:i:3:p:369-385
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 ().