paneldata数据分析 一(10)

如果显著，则是用随机效应模型，否则使用OLS
③If the LM test is significant, use the random effects model instead of the OLS model.
④We still need to test for fixed versus random effects.
2、Hausman test
①The random effects estimator is more efficient so we need to use it if the Hausman test supports it. If it does not support it, use the fixed effects model.
②Hausman test tests whether there is a significant difference between the fixed and random
effects estimators.
③The Hausman test statistic can be calculated only for the time-varying regressors.
④The Hausman test statistics is:

the Hausman test
⑤It is chi-square distributed with degrees of freedom equal to the number of parameters for
the time-varying regressors.
⑥If the Hausman test is insignificant use the random effects.
⑦If the Hausman test is significant use the fixed effects.
参考视频：
多罗罗结尾。