Hello everyone,
I'm working with a multinomial logit model with three possible outcomes and clustered standard errors. My goal is to obtain the marginal effects at mean for a cross categorical comparison. After running mlogit, I used mchange, atmeans from the SPost13 package to obtain the marginal effects at mean. I thought subsequently running listcoef , help pvalue(.1) would give me the cross categorical comparison with the coefficients of the MEMs. Apparently I was wrong. listcoef , help pvalue(.1) just displays the cross categorical comparison from the mlogit using it's coefficients and not the MEM ones. Any ideas on how to get a cross categorcial comparison including the MEMs?
I'm working with a multinomial logit model with three possible outcomes and clustered standard errors. My goal is to obtain the marginal effects at mean for a cross categorical comparison. After running mlogit, I used mchange, atmeans from the SPost13 package to obtain the marginal effects at mean. I thought subsequently running listcoef , help pvalue(.1) would give me the cross categorical comparison with the coefficients of the MEMs. Apparently I was wrong. listcoef , help pvalue(.1) just displays the cross categorical comparison from the mlogit using it's coefficients and not the MEM ones. Any ideas on how to get a cross categorcial comparison including the MEMs?