时间序列门槛回归求助!-经管之家官网!

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时间序列门槛回归求助!

时间序列门槛回归求助!

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使用stata16自带的命令得到回归结果,报告了门槛值和SSR,回归的系数以及显著性,但并没有汇报拟合优度,方程的F值之类的,请问有无对于时间序列更合适的门槛回归命令?http://data:image/png;base64,iVBORw0KGgoAAA ...
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使用stata16自带的命令得到回归结果,报告了门槛值和SSR,回归的系数以及显著性,但并没有汇报拟合优度,方程的F值之类的,请问有无对于时间序列更合适的门槛回归命令?http://data:image/png;base64,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