计量经济学（对数线性模型）

Question 1:
(a) The following STATA output (Table 1.1) shows the estimation result when we regress the logarithm of wage (dependent variable) on education and experience (independent variables) for married employees only. Is the model as a whole significant? Please note the relevant statistic and interpret it.
(20 percent)
Table 1.1
Source | SS df MS Number of obs = 2861
-------------+------------------------------ F( 2, 2858) = 399.58
Model | 179.385513 2 89.6927566 Prob > F = 0.0000
Residual | 641.531912 2858 .224468828 R-squared = 0.2185
-------------+------------------------------ Adj R-squared = 0.2180
Total | 820.917425 2860 .287034065 Root MSE = .47378
------------------------------------------------------------------------------
lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
educ | .1045997 .0037199 28.12 0.000 .0973058 .1118936
exper | .0075021 .0008644 8.68 0.000 .0058073 .0091969
_cons | .697136 .0574189 12.14 0.000 .5845494 .8097226
(b) Interpret the slope coefficients. Are they statistically significant?
(40 percent)
(c) Compare the values of R2 and adjusted R2 in the previous STATA output. How are they theoretically related? State the range of their values and explain.
(40 percent)

急～只做question1就行

结果截图出来，这样看费神，
简单说一下结果，
a，模型显著，F =399.58,P=.000<.05,
b.对已婚人群来说，
教育每变化一个单位，（年？不清楚），工资的对数改变.104.,显著。
工作经历（experience,单位是什么？）每变化一单位，工资的对数改变.0075.，显著。
c.
R2或者aR2,自变量解释因变量比例，范围【0，1】。

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zlgsx 发表于 2015-1-31 18:01
结果截图出来，这样看费神，
简单说一下结果，
a，模型显著，F =399.58,P=.000

附件有了~~a问是模型有意义吗？是不是应该要先写出模型式子来,只有再test它？题中是说模型是对数，那式子需要还原成对数的形式吗？我自己做了点，不知正不正确，求大神解答，万分感谢

zlgsx 发表于 2015-1-31 18:01
结果截图出来，这样看费神，
简单说一下结果，
a，模型显著，F =399.58,P=.000

弱弱地问一下，为什么F =399.58,P=.000<.05 就模型显著？ F代表什么？
还有c) 部分，是不是R square可能会受因变量的数量所影响，adjusted R square就是消除这个影响？

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lianglongwu 发表于 2015-2-3 11:09
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同求