Programme Evaluation with Multiple Treatments
综述了微观计量政策评估的主要识别和估计策略，特别关注包含多个项目的政策（如积极劳动力市场政策中的不同培训、就业和工资补贴项目），讨论了多种识别方法和非参数匹配与加权估计量。
Abstract. This paper reviews the main identification and estimation strategies for microeconometric policy evaluation. Particular emphasis is laid on evaluating policies consisting of multiple programmes, which is of high relevance in practice. For example, active labour market policies may consist of different training programmes, employment programmes and wage subsidies. Similarly, sickness rehabilitation policies often offer different vocational as well as non‐vocational rehabilitation measures. First, the main identification strategies (control‐for‐confounding‐variables, difference‐in‐difference, instrumental‐variable, and regression‐discontinuity identification) are discussed in the multiple‐programme setting. Thereafter, the different nonparametric matching and weighting estimators of the average treatment effects and their properties are examined.