急问：为什么我用xtpmg命令的时候出现不停的迭代~

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我用的命令是：xtpmg D. hp D. lnp D. i D. income D. lngdp, lr(L.hp L. lnp L. i L. income L. lngdp) ec(ec) full replace pmg
运行之后stata出现了不停的迭代，都已经迭代了100次了，这是怎么回事啊？请高手指教，怎么解决啊？谢谢！
stata运行结果如下：
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
Iteration 0:   log likelihood =  792.45247  (not concave)
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
Iteration 1:   log likelihood =  792.45247  (not concave)
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
Iteration 2:   log likelihood =  792.45247  (not concave)
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
Iteration 3:   log likelihood =  792.45247  (not concave)
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
numerical derivatives are approximate
flat or discontinuous region encountered
Iteration 4:   log likelihood =  792.45247  (not concave)
~~~
之后的结果跟前面的一样~

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关键词：xtpmg TPM pmg xtp Approximate xtpmg

你不能保证有最优解

蓝色 发表于 2011-8-14 12:05
你不能保证有最优解

那怎么解决呢？

一般是数据的问题
检查数据
是不是又异常的或者
是不是你的模型的形式不对，也无法收敛

我先试一试，看看结果怎么样？谢谢版主~

Data can't fit the Model

在下也碰到过，据说是数据问题，方程无解。

chyshl 发表于 2011-8-17 00:22
在下也碰到过，据说是数据问题，方程无解。

请问，xtpmg的回归结果怎么看啊，为什么会有两部分，ec和SR部分，分别是指什么呢？汇报的时候看哪块啊？

wlqust 发表于 2012-9-6 16:41
请问，xtpmg的回归结果怎么看啊，为什么会有两部分，ec和SR部分，分别是指什么呢？汇报的时候看哪块啊？

遇到相同的问题，麻烦给解释一下！

timsdj 发表于 2012-11-7 23:04
遇到相同的问题，麻烦给解释一下！

目前我也没看懂~不好意思呀~