{smcl} {* Friday, April 11, 2008 at 15:35}{...} {hline} help for {hi:mira}{right:author: {hi:Alfaro, Rodrigo }} {hline} {title:Multiple Imputation Regression Analysis} {p 8 13 2}{cmd:mira} "{it:regression command}" {cmd: using} {it:filename} [, {cmdab:m:(}{it:#}{cmd:)} {cmdab:var:(}{it:string}{cmd:)}] {title:Description} { p 4 4 2} {cmd:mira} computes Rubin's (1987) measures for Multiple Imputation (MI) regression analysis using numbered datasets. For example, pretend that you have the following datasets generated by some MI procedure: imp1.dta, imp2.dta, etc. Then {cmd:mira} runs the regression command in each dataset up to dataset {cmd:m} (default is 5) and analyzes the results using Rubin's formulas. { p 4 4 2} In case that all the MIs are included in one dataset, {cmd:var} option should be used to indicate the name of variable that describes the number of imputation. { p 4 4 2} Finally, {cmd:mira} reports the arithmetic (simple) and geometric r2's, along with the number of groups, and sample periods, whenever the information is available. {title:Examples} {p 4 8 2}{cmd:. mira "reg y x1 x2" using imp}{p_end} {p 4 8 2}{cmd:. mira "reg y x1 x2" using imp, m(10)}{p_end} {p 4 8 2}{cmd:. mira "reg y x1 x2" using imp, m(5) var(impnum)}{p_end} {title:Author} { p 4 4 2} Rodrigo A. Alfaro, Central Bank of Chile {p_end} { p 4 4 2} ralfaro@bcentral.cl{p_end} {title:References} { p 4 4 2} Rubin, D.B. (1987) Multiple Imputation for Nonresponse in Surveys. J. Wiley & Sons, New York.{p_end}