did stata代码

以下是使用Stata编写的DID（双重差分）回归代码的示例：

引用\[1\]:

gen period = (year>=1994) & !missing(year) // 生成时间虚拟变量，1994年前为0，反之为1
gen treat = (country>4) & !missing(country) // 生成区域的虚拟变量，干预为1，反之为0
gen did = period * treat // 生成交叉项
reg y period treat did, r // DID回归：reg方式

引用\[2\]:

gen period = (year>=1992) & !missing(year) // 生成时间虚拟变量，1992年前为0，反之为1
gen treat = (country>4) & !missing(country)
gen did = period * treat
reg y period treat did x1-x3 i.opinion i.country, r

引用\[3\]:

gen period = (year>=1994) & !missing(year) // 生成时间虚拟变量，1994年前为0，反之为1
gen treat = (country>4) & !missing(country)
gen did = period * treat
gen policy = year - 1994
forvalues i = 4(-1)1 {
    gen pre_`i' = (policy == -`i' & treat == 1)
}
xtreg y pre_*, fe r
est sto reg
coefplot reg, keep(pre_*) vertical recast(connect) yline(0)

希望这些代码能够帮助你进行DID回归分析。
#### 引用[.reference_title]
- *1* *2* *3* [双重差分法(DID)：标准化流程和stata代码实现](https://blog.csdn.net/taozibaby/article/details/129649122)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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