求教：如果用stata做mincer分析

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我是stata的初学者，现在对样本进行mincer分析，公式如下：运用Mincer收入方程，以便得出农民工与城镇职工教育收益率以及其他特征变量对工资的影响程度。
Mincer收入方程可以用下列公式来表示：
lnY=b0+b1S+b2E+b3E2+u
其中lnY为个人收入的对数,S为受教育年限,E为就业时间(年为单位),u为误差项。
我出现的困难是
1、lnY我如何处理，原来使用的都是正常的数值，现在怎末办？
2、u怎末在命令出体现？

多谢</p>

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关键词：Mincer Stata tata Min CER 农民工 收益率 初学者 就业 如何

Answer 1 : The reason that Mincer used lny as the dependent variable instead of y(earnings) is estimating the returns of scooling and tenure. you can find this logic in textbook of labor economics such as a chapter of human capital. So you must lny as the dependent variable, not y.

Answer 2 : Mincerian earnings equation is the above that you take correctly. In the equation, the 'u' is just a residual of OLS estimation. So you don't worry. You never include 'u' in the regression command of Stata as below :   

you just run stata regression command as follows:

reg lny s e e2

which 'reg' is regression(OLS, Ordinary Least Square), 'lny' is log of y(earnings), 's' is the shooling years, 'e' is the tenure years, and 'e2' is the square of 'e'.

Before running the above command, you should make two new variable such as lny and e2.

Also you just run like

gen lny = ln(y)

gen e2=e^2

I hope you get your answer.

thanks a lot

 

2楼讲的好详细，受教！

非常感谢，受教了！

太给力了！