SIMSUM: Stata module to perform analyses of simulation studies including Monte Carlo error

Ian White

Statistical Software Components from Boston College Department of Economics

Abstract: simsum analyses 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, empirical standard error, relative precision, average model-based standard error and its relative error, coverage and power. Monte Carlo errors are available in all cases.

Language: Stata
Requires: Stata version 10
Keywords: meta-analysis; simulation; bias; Monte Carlo errors (search for similar items in EconPapers)
Date: 2010-08-31, Revised 2023-08-02
Note: This module should be installed from within Stata by typing "ssc install simsum". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/simsum.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/simsum.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/MIsim.do examples file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/MIsim.dta sample data file (application/x-stata)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457170

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