simsum: Analyses of simulation studies including Monte Carlo error

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dc.creatorWhite, Ian R.
dc.date2017-04-01T19:08:40Z
dc.date.accessioned2026-07-09T07:32:27Z
dc.descriptionA 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.
dc.identifierOther:st0200
dc.identifierdoi:10.22004/ag.econ.159027
dc.identifierhttps://ageconsearch.umn.edu/record/159027/files/sjart_st0200.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/159027
dc.identifier.urihttp://hdl.handle.net/123456789/589454
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/159027
dc.titlesimsum: Analyses of simulation studies including Monte Carlo error
dc.typeText

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University of Minnesota