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Iteration 0: log pseudolikelihood = -3949.8764
Iteration 1: log pseudolikelihood = -3785.7849
Iteration 2: log pseudolikelihood = -3785.5365
Iteration 3: log pseudolikelihood = -3785.5365
Generalized linear models No. of obs = 12400
Optimization : ML Residual df = 12391
Scale parameter = 1
Deviance = 5504.764857 (1/df) Deviance = .4442551
Pearson = 7966.614332 (1/df) Pearson = .6429355
Variance function: V(u) = u*(1-u/1) [Binomial]
Link function : g(u) = ln(u/(1-u)) [Logit]
AIC = .612022
Log pseudolikelihood = -3785.536503 BIC = -111286
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| Robust
export_sales | Coef. Std. Err. z P>|z| [95% Conf. Interval]
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ecomdum | .8000594 .0457798 17.48 0.000 .7103327 .8897862
lntpf | -.1372831 .0065057 -21.10 0.000 -.1500339 -.1245322
lnlabor | .3033846 .0173436 17.49 0.000 .2693917 .3373775
lnsalary | -.2140413 .0478408 -4.47 0.000 -.3078076 -.120275
lnrd2004 | -.0082638 .0072689 -1.14 0.256 -.0225107 .0059831
fdi | 2.149608 .0613778 35.02 0.000 2.02931 2.269906
lnklr | -.2229223 .0168889 -13.20 0.000 -.2560238 -.1898207
east | .9421032 .0505827 18.63 0.000 .842963 1.041243
_cons | -2.166244 .3212195 -6.74 0.000 -2.795822 -1.536665
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我后面的link填的是logit
期待回复
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