| blank blank 各位朋友好,本人计量小白,根据要求想控制时间以及地区固定效应,而且使用城市聚类标准误,便用了如下命令 xtreg lnpct lnminwag EPS RDA age ROA SIZE i.year i.City,vce(cluster City) 得到的结论,文献显示是lnpct和lnminwag正相关,但我的结果如下所示: R-sq: Obs per group: within = 0.0004 min = 1 between = 0.3309 avg = 3.6 overall = 0.2588 max = 5 Wald chi2(10) = . corr(u_i, X) = 0 (assumed) Prob > chi2 = . (Std. Err. adjusted for 183 clusters in City) --------------------------------------------------------------------------------------------- | Robust lnpct | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- lnminwag | .0036314 .2074156 0.02 0.986 -.4028958 .4101586 EPS | .1008802 .0705517 1.43 0.153 -.0373987 .239159 RDA | .2495316 .0700776 3.56 0.000 .1121821 .3868811 age | .0350627 .0059708 5.87 0.000 .0233602 .0467651 ROA | -.3595976 .373834 -0.96 0.336 -1.092299 .3731036 SIZE | -9.83e-14 1.39e-13 -0.71 0.480 -3.71e-13 1.74e-13 | year | 2014 | -.0273695 .0266597 -1.03 0.305 -.0796215 .0248826 2015 | -.059644 .0429308 -1.39 0.165 -.1437868 .0244989 2016 | -.0770783 .0438752 -1.76 0.079 -.1630721 .0089156 2017 | -.137712 .0604861 -2.28 0.023 -.2562625 -.0191614 | City | 上海市 | -.0265823 .0836295 -0.32 0.751 -.1904931 .1373286 东莞市 | -.0149224 .0180988 -0.82 0.410 -.0503954 .0205507 东营市 | .1653109 .0532342 3.11 0.002 .0609737 .269648 R方太低了,而且好像变量系数没有通过显著性检验,1.不知道怎么解读结果,2.也不知道代码正确与否 有没有大神可以解答一下呢?谢谢各位大神们看看 |


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