Summarising the results of simulation studies
Simulation studies are a powerful tool, but their analysis is not always done well; in particular, Monte Carlo standard errors are often not reported. I present a Stata program, - simsum-, which can output a range of summaries, including bias, precision of one method relative to another, percentage difference between model-based and empirical standard error, power and coverage. Monte Carlo standard errors are computed for all these quantities, using exact or approximate formulae.
When requesting a correction, please mention this item's handle: RePEc:boc:usug09:08. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.