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第60行： − − − 根据数据及其基本情况，可以使用许多方法来估计 ATE。最常见的是:+ − − * [[Natural experiment|Natural experiments]] − − * [[Difference in differences]] − + − + − + + +
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== Estimation ==
== Estimation ==
Depending on the data and its underlying circumstances, many methods can be used to estimate the ATE. The most common ones are:
Depending on the data and its underlying circumstances, many methods can be used to estimate the ATE. The most common ones are:
根据数据及其潜在环境，可以使用许多方法来估计ATE。最常见方法是:
*[[Regression discontinuity design|Regression discontinuity designs]]
* 自然实验 Natural experiment
* [[Propensity score matching]]
* 双重差分模型 Difference in differences
* [[Instrumental variables estimation]]
* 断点回归设计 Regression discontinuity design
* 倾向评分匹配 Propensity score matching
* 工具变量估计 Instrumental variables estimation
== An example ==
== An example ==