Local Average Treatment Effect and Regression-Discontinuity-Design

Giovanni Cerulli

Chapter Chapter 4 in Econometric Evaluation of Socio-Economic Programs, 2022, pp 217-299 from Springer

Abstract: Abstract This chapter addresses two different but related subjects, both widely developed and used within the literature on the econometrics of program evaluation: the Local average treatment effect (LATE) and the Regression-discontinuity-design (RDD). Considered as nearly quasi-experimental methods, these approaches have recently been the subject of vigorous interest as tools for detecting causal effects of treatment on given target variables within a special statistical setting.

Date: 2022
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DOI: 10.1007/978-3-662-65945-8_4

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