or do another way, which is better by taking into consideration the estimates are from sub-samples :

logit y x if g==0
est store a
logit y x if g==1
est store b
suest
test [a_y]x = [b_y]x

我昨天自己又查了些资料，觉得你说的interaction好像也不错的，这个用菜单的形式可以实现吗？

if using menu, under data->create or change data->other variable creation commands->interaction expansion

then depend on if the other variables are continuous, if continuous, select  I.varname1*varname3, select the variable for 健康组/非健康组 in the categorical variable, and the x (continuous) variable in continuous variable selection, click ok.  It will generate new variables named start with _I

Then run the logit reg by include all the new variables named as _I in addition to the variables you already used with robust SE

It will be easy to use command window as (if you do logit Y on x by group):

xi: logit Y x i.group*x, robust

and then test the interaction term

test _IgroXx_1

楼主你好，我想请问下你是怎么解决的，我也想检验两个回归系数是否有差异，我的是面板数据，好像用suest不行，请问怎样做t检验

可以尝试网页版SPSSAU 上面分析方法比较全面 我觉得操作比较简单