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Local Average Treatment Effect and Regression-Discontinuity-Design

In: Econometric Evaluation of Socio-Economic Programs

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  • Giovanni Cerulli

    (National Research Council of Italy)

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.

Suggested Citation

  • Giovanni Cerulli, 2022. "Local Average Treatment Effect and Regression-Discontinuity-Design," Advanced Studies in Theoretical and Applied Econometrics, in: Econometric Evaluation of Socio-Economic Programs, edition 2, chapter 0, pages 217-299, Springer.
    • Handle: RePEc:spr:adschp:978-3-662-65945-8_4
    DOI: 10.1007/978-3-662-65945-8_4
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