Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.