Results 301 to 310 of about 105,330 (339)
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Regression Discontinuity

Abstract This chapter covers the regression discontinuity research design. It first describes how the method estimates the causal effects of interventions by leveraging the fact that some interventions only kick in at arbitrarily drawn lines, resulting in groups on both sides of the line that may be extremely similar.
Adam Chilton, Kyle Rozema
openaire   +1 more source

Regression Discontinuity and Beyond

American Journal of Evaluation, 2018
Treatment effect estimates from a regression discontinuity design (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research.
Coady Wing, Ricardo A. Bello-Gomez
openaire   +1 more source

Regression discontinuity with categorical outcomes

Journal of Econometrics, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Regression Discontinuity Methods

2022
Paul Glewwe, Petra Todd
openaire   +1 more source

Regression Discontinuity Design

2023
Vikram Dayal, Anand Murugesan
openaire   +1 more source

Regression Discontinuity Design

2022
Blaise Melly, Rafael Lalive
openaire   +1 more source

Local Polynomial Order in Regression Discontinuity Designs

Journal of Business and Economic Statistics, 2022
Zhuan Pei, David S Lee, David Card
exaly  

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