在处理Stata中的panel data时，有时需要创建大量的dummy variable，例如年份。一个简便的创建方法是：使用命令"tab Year, gen(d)"，这里的d将代表新生成的dummy variable。此外，在回归过程中也可以同时创建dummy variables。例如，使用"xi: reg ... i.city i.Year"命令，在回归过程中state会自动生成...
1)单独创建dummy variables:在用stata处理panel data时,有时候会需要创建很多dummy variable,比如年份。一个快速创建的办法是:tab Year, gen(d);其中 d是用来代表创建出来的dummy variable的。 2)在回归的时候同时创建dummy variables:xi: reg ... i.city i.Year 使用这个公式,回归的时候就state就自动帮忙创建了...
你要用logistic回归，先把chp116 的值变成0,1变量，哑变量基本上是用0和1来表示的。然后输入回归命令logit chp116 hh1 if chp106 > 24就好了
r dummy-variable Nee*_*raj lucky-day 3推荐指数 2解决办法 223查看次数 R |中的因子水平默认为1和2 虚拟变量 我正在从Stata转换到R.在Stata中,如果我将因子级别(比如-0和1)标记为(M和F),则0和1将保持不变.此外,在大多数软件(包括Excel和SPSS)中,这是虚拟变量线性回归所必需的. 但是,我注意到...
AuthorRonna Cong, StataCorp DateMay 2001 By default, the marginal effect of a dummy variable x is calculated as the discrete change in F(x) as the dummy variable x changes from 0 to 1. Marginal effect of x = F(x=1) - F(x=0) ...
Further details about the definition ofdummy variablesin dependence models are discussed inChapter 13, including a presentation of the operations necessary to create them on software such asStata. View chapter Chapter LEARNING STRUCTURE FROM DATA ...
Juni 2010 13:15 >>> An: statalist@hsphsun2.harvard.edu >>> Betreff: Re: st: AW: mfx-Elasticity for a dummy variable >>> >>> The elasticity of y with respect to the dummy variable in the way that >>> you have defined your regression will be the coefficient of the dummy >>> ...
In Stata, you can get the numbers of older and younger sisters and brothers with lines such as the following. If you are not using Stata, you will have to convert. I include a check to make sure that the total of these four numbers is equal to the total number of siblings. I ...
GENICV: Stata module to generate interaction between continuous (or dummy) variables genicv multiplies variables to create two or three-way interactions. If two variables are specified in varlist, one new variable varname1_varname2 is creat... D Klein - Boston College Department of Economics 被...
A new Hausman test is presented for the exogeneity of a dummy variable in a probit model. It is very easy to implement because of the equivalence of the log likelihood functions for bivariate probit and recursive probit. The procedure is applied to a model of student loan default due to Kna...