{smcl} {* *! version 10.0 9sep2009}{...} {cmd:help glmcstar} {title:Title} {p2colset 5 18 20 2}{...} {p2col :{hi:glmcstar} {hline 2}}Calculate Esarey's c* statistic{p_end} {p2colreset}{...} {title:Syntax} {p 8 17 2} {cmd:glmcstar} {it:gamma} {title:Description} {pstd}{cmd:glmcstar} is used to compute Esarey's c* statistic for each regressor after a GLM regression is estimated using maximum likelihood. The OLS alternative, {help olscstar}, should be used after a regression is estimated with OLS. Gamma is the user's loss aversion parameter. An error will be returned if the function is given zero arguments, more than one argument, or a gamma equal to zero. Gamma can be less than one, but a note is returned indicating that this selection indicates loss seeking preferences. {title:Also see} {psee} Online: {help olscstar} {help glmcstari} {help olscstari} {p_end} {title:Authors} {p 4 4 2} Nathan Danneman, Emory University, ndannem@emory.edu {p 4 4 2} Justin Esarey, Emory University, jesarey@emory.edu