Stata panel data decentralization

1. According to Hou Jietai: the so-called centralization refers to subtracting the mean value of a variable from its expected value. For sample data, each observation value of a variable is subtracted from the sample average value of the variable, and the transformed variable is centralized
for your question, subtract the mean from each measurement.

2. First use Stata to import your excel, and then save it as a Stata data file. You can then merge your mmy variables into your panel data. It is suggested that panel data should be converted into growth data first, which is easy to operate when merging. Of course, it depends on how your mmy variables are set.

3. Short panel processing
panel data refers to both cross-section data and time series data, so it has the advantage that cross-section data does not have. When Using Stata to estimate panel data, xtreg command is generally selected for fitting. This section mainly discusses the Stata implementation of short panel, that is, the data whose time dimension t is smaller than the section number n. In that case, because t is small and each indivial has less information, it is impossible to discuss whether the disturbance term has autocorrelation. We generally assume that it is independent and identically distributed
dimension determination of panel data

before model estimation of panel data, dimension determination of panel data should be carried out. Because panel data has both cross-section data and time series, and Stata can't automatically identify them, Stata must know which part is cross-section data and which part is time series
the basic commands for setting panel data dimensions are:
xtset panel VaR, timvar [, tsoptions]
where panel var represents section data variables and timvar represents time series variables
select a panel data for dimension setting:
xtset fcode year

4. 这个问题我已答了几次了，呵呵，看来这个命令还很有用啊
h xtbalance
打开的页面中点第一个网址链接，然后安装
命令格式：
xtbalance, range(numlist) [ miss(varlist) ]
选项：
range(numlist) specifies sample range to be transfored. numlist must be two integers and specified in ascending order.
miss(varlist) forces to drop the observations if any one of the variable in varlist has missing value

5. Why do two variables need simultaneous equations.... When Using Stata to process panel data, the first step is to declare that the data is panel data, the command is xtreg X1 X2, the variable X1 is the unit of the observation value, which is the I in the general model, and the variable X2 is the time of the observation value, which is the T in the general model. For example, if you have the provincial panel data from 1980 to 1985, where the province variable represents the province and the year variable represents the year, you should: xtreg province year remember to put I before t. Then how to deal with the data depends on what model you use, such as xtreg, xtgls, xtivreg, etc.

6. In Stata, how to select models for panel data processing is generally based on the type of dependent variable. For panel data, when the dependent variable is a continuous variable, it can be selected among mixed OLS regression, fixed effect model and random effect model, with corresponding test statistics; When the dependent variable is a category variable, there is a panel logit model, which can be divided into two categories, disordered multi category and ordered multi category panel logit.

7.

Tools to prepare: computer, statase 15

First, an independent variable and a dependent variable are generated