A Nonparametric Estimator for Local Quantile Treatment Effects in the Regression Discontinuity Design

2008 ◽  
Author(s):  
Brigham R. Frandsen
Keyword(s):  
Treatment Effects ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Nonparametric Estimator ◽  
Quantile Treatment Effects

scholarly journals QUANTILE TREATMENT EFFECTS IN REGRESSION KINK DESIGNS

2020 ◽  
Vol 36 (6) ◽  
pp. 1167-1191
Author(s):  
Heng Chen ◽  
Harold D. Chiang ◽  
Yuya Sasaki
Keyword(s):  
Economic Policy ◽  
Statistical Inference ◽  
Treatment Effects ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Simulation Studies ◽  
Quantile Treatment Effects ◽  
Economic Journal ◽  
Education Effects ◽  
Empirical Illustration

The literature on regression kink designs develops identification results for average effects of continuous treatments (Nielsen et al., 2010, American Economic Journal: Economic Policy 2, 185–215; Card et al., 2015, Econometrica 83, 2453–2483), average effects of binary treatments (Dong, 2018, Jump or Kink? Identifying Education Effects by Regression Discontinuity Design without the Discontinuity), and quantile-wise effects of continuous treatments (Chiang and Sasaki, 2019, Journal of Econometrics 210, 405–433), but there has been no identification result for quantile-wise effects of binary treatments to date. In this article, we fill this void in the literature by providing an identification of quantile treatment effects in regression kink designs with binary treatment variables. For completeness, we also develop large sample theories for statistical inference, present a practical guideline on estimation and inference, conduct simulation studies, and provide an empirical illustration.

scholarly journals Quantile treatment effects in the regression discontinuity design

2012 ◽  
Vol 168 (2) ◽  
pp. 382-395 ◽  
Author(s):  
Brigham R. Frandsen ◽  
Markus Frölich ◽  
Blaise Melly
Keyword(s):  
Treatment Effects ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design ◽  
Quantile Treatment Effects

Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design

Econometrica ◽  
2001 ◽  
Vol 69 (1) ◽  
pp. 201-209 ◽  
Author(s):  
Jinyong Hahn ◽  
Petra Todd ◽  
Wilbert Klaauw
Keyword(s):  
Treatment Effects ◽  
Regression Discontinuity ◽  
Regression Discontinuity Design

scholarly journals The Effects of “Girl-Friendly” Schools: Evidence from the BRIGHT School Construction Program in Burkina Faso

2013 ◽  
Vol 5 (3) ◽  
pp. 41-62 ◽  
Author(s):  
Harounan Kazianga ◽  
Dan Levy ◽  
Leigh L Linden ◽  
Matt Sloan
Keyword(s):  
Primary School ◽  
Burkina Faso ◽  
Test Scores ◽  
Treatment Effects ◽  
Regression Discontinuity ◽  
School Construction ◽  
Regression Discontinuity Design ◽  
School Program ◽  
Percentage Points ◽  
Standard Deviations

We evaluate a “girl-friendly” primary school program in Burkina Faso using a regression discontinuity design. After 2.5 years, the program increased enrollment by 19 percentage points and increased test scores by 0.41 standard deviations. For those caused to attend school, scores increased by 2.2 standard deviations. Girls' enrollment increased by 5 percentage points more than boys' enrollment, but they experienced the same increase in test scores as boys. The unique characteristics of the schools are responsible for increasing enrollment by 13 percentage points and test scores by 0.35 standard deviations. They account for the entire difference in the treatment effects by gender. (JEL I21, I28, J16, O15)

scholarly journals Robust uniform inference for quantile treatment effects in regression discontinuity designs

2019 ◽  
Vol 211 (2) ◽  
pp. 589-618 ◽  
Author(s):  
Harold D. Chiang ◽  
Yu-Chin Hsu ◽  
Yuya Sasaki
Keyword(s):  
Treatment Effects ◽  
Regression Discontinuity ◽  
Quantile Treatment Effects ◽  
Regression Discontinuity Designs

The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects

2017 ◽  
Vol 82 ◽  
pp. 94-102 ◽  
Author(s):  
Iris L. Maas ◽  
Sandra Nolte ◽  
Otto B. Walter ◽  
Thomas Berger ◽  
Martin Hautzinger ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Treatment Effects ◽  
Regression Discontinuity ◽  
Controlled Trial ◽  
Regression Discontinuity Design ◽  
Randomized Controlled
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