关于probit回归

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收藏 2016-08-14

我想做一个probit模型，请问在建模前后应该做些什么检验？还有我的probit回归结果中：

Iteration 0: log likelihood = -222.98673
Iteration 1: log likelihood = -212.20882
Iteration 2: log likelihood = -211.99688
Iteration 3: log likelihood = -211.99621
Iteration 4: log likelihood = -211.99621

Probit regression		Number of obs	=	658
		LR chi2(9)	=	21.98
		Prob > chi2	=	0.0089
Log likelihood = -211.99621		Pseudo R2	=	0.0493

	Coef.	Std. Err.	z	P>\|z\|	[96% Conf.	Interval]
corruptions .0096498	0.0096498	0.0050124	1.93	0.054	-0.0001745	0.019474
tech .1215263	0.1215263	0.2734328	0.44	0.657	-0.4143922	0.6574447
vc .3047315	0.3047315	0.1733195	1.76	0.079	-0.0349685	0.6444315
wealth -2.05e-10	-2.05E-10	1.46E-10	-1.4	0.16	-4.90E-11	8.10E-11
lnsales -.0380477	-0.0380477	0.0395428	-0.96	0.336	-0.1155503	0.0394548
bkvlps -.0326366	-0.0326366	0.0155686	-2.1	0.036	-0.0631507	-0.0021227

industry dummy
Manufacturing, Energy, and Ut..	0.2344603	0.2939736	0.8	0.425	-0.3417175	0.8106381
Business Equipment, Telephone..	-0.1042878	0.371006	-0.28	0.779	-0.8314463	0.6228707
Healthcare, Medical Equipment..	-0.6229488	0.3229318	-1.93	0.054	-1.255884	0.0099858
Other -- Mines, Constr, BldMt..	0.0851314	0.2623148	0.32	0.746	-0.4289963	0.599259

_cons	-1.157827	0.3509818	-3.3	0.001	-1.845739	-0.4699148