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 What Happens When Extremists Win Primaries?

2015 ◽  
Vol 109 (1) ◽  
pp. 18-42 ◽  
Author(s):  
ANDREW B. HALL
Keyword(s):  
Regression Discontinuity ◽  
General Election ◽  
Primary Elections ◽  
Legislative Behavior ◽  
Regression Discontinuity Design ◽  
Roll Call ◽  
Primary Election ◽  
Percentage Points ◽  
General Elections ◽  
The U.S

This article studies the interplay of U.S. primary and general elections. I examine how the nomination of an extremist changes general-election outcomes and legislative behavior in the U.S. House, 1980–2010, using a regression discontinuity design in primary elections. When an extremist—as measured by primary-election campaign receipt patterns—wins a “coin-flip” election over a more moderate candidate, the party’s general-election vote share decreases on average by approximately 9–13 percentage points, and the probability that the party wins the seat decreases by 35–54 percentage points. This electoral penalty is so large that nominating the more extreme primary candidate causes the district’s subsequent roll-call representation to reverse, on average, becoming more liberal when an extreme Republican is nominated and more conservative when an extreme Democrat is nominated. Overall, the findings show how general-election voters act as a moderating filter in response to primary nominations.

Bringing Education to Afghan Girls: A Randomized Controlled Trial of Village-Based Schools

2013 ◽  
Vol 5 (3) ◽  
pp. 27-40 ◽  
Author(s):  
Dana Burde ◽  
Leigh L Linden
Keyword(s):  
Randomized Controlled Trial ◽  
Academic Performance ◽  
Gender Gap ◽  
Test Scores ◽  
Controlled Trial ◽  
Randomized Controlled ◽  
Randomized Evaluation ◽  
Percentage Points ◽  
Standard Deviations

We conduct a randomized evaluation of the effect of village-based schools on children's academic performance using a sample of 31 villages and 1,490 children in rural northwestern Afghanistan. The program significantly increases enrollment and test scores among all children, but particularly for girls. Girls' enrollment increases by 52 percentage points and their average test scores increase by 0.65 standard deviations. The effect is large enough that it eliminates the gender gap in enrollment and dramatically reduces differences in test scores. Boys' enrollment increases by 35 percentage points, and average test scores increase by 0.40 standard deviations. (JEL I21, J16, O15, O18)

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.

Does Free Community College Improve Student Outcomes? Evidence From a Regression Discontinuity Design

2021 ◽  
pp. 016237372199314
Author(s):  
Elizabeth Bell
Keyword(s):  
Community College ◽  
Student Outcomes ◽  
Degree Attainment ◽  
Regression Discontinuity ◽  
Bachelor's Degree ◽  
Regression Discontinuity Design ◽  
College Gpa ◽  
Percentage Points ◽  
Bachelor's Degree Attainment

In this article, I utilize a regression discontinuity design to estimate the effects of Tulsa Achieves—a prevalent and understudied type of tuition-free college program. In contrast to concerns regarding tuition-free community college suppressing bachelor’s degree attainment, I find that Tulsa Achieves increased the likelihood of transferring to 4-year colleges by 13 to 14 percentage points and increased bachelor’s degree attainment by approximately 2 percentage points. The estimates for shorter outcomes are underpowered to detect policy relevant effects, but suggest Tulsa Achieves increased college GPA and had a null impact on credit accumulation, retention, and graduation from Tulsa Community College.

scholarly journals The Effect of Public Insurance Coverage for Childless Adults on Labor Supply

2017 ◽  
Vol 9 (2) ◽  
pp. 124-154 ◽  
Author(s):  
Laura Dague ◽  
Thomas DeLeire ◽  
Lindsey Leininger
Keyword(s):  
Labor Supply ◽  
Regression Discontinuity ◽  
Insurance Coverage ◽  
Regression Discontinuity Design ◽  
Negative Effects ◽  
Public Insurance ◽  
Difference In Differences ◽  
Percentage Points ◽  
Percent Decline ◽  
Rule Out

This study provides plausibly causal estimates of the effect of public insurance coverage on the employment of non-elderly, nondisabled adults without dependent children (“childless adults”). We take advantage of the sudden imposition of an enrollment cap in Wisconsin, comparing the labor supply of enrollees to eligible applicants placed on a waitlist using a regression discontinuity design and difference-in-differences methods. We find enrollment into public insurance leads to sizable and statistically meaningful reductions in employment, with an estimated effect size of just over 5 percentage points, a 12 percent decline. Confidence intervals rule out positive and large negative effects. (JEL G22, H75, I13, I18, I38, J22)

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