同样的数据做跑固定效应,可以得出结果,不知道是什么原因造成的,求指点求帮忙。
Fitting negative binomial (constant dispersion) model:
Iteration 16: log likelihood = -12513.111 (not concave)
Iteration 17: log likelihood = -12513.11
Iteration 18: log likelihood = -12513.11 (backed up)
Iteration 19: log likelihood = -12513.11 (backed up)
Iteration 20: log likelihood = -12513.11 (not concave)
Iteration 21: log likelihood = -12513.11 (not concave)
Iteration 22: log likelihood = -12513.11 (not concave)
Iteration 23: log likelihood = -12513.11 (not concave)
Iteration 24: log likelihood = -12513.11 (not concave)
Iteration 25: log likelihood = -12513.11 (not concave)
Iteration 26: log likelihood = -12513.11 (not concave)
Iteration 27: log likelihood = -12513.11 (not concave)
如此循环下去了


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