Approximate permutation tests and induced order statistics in the regression discontinuity design
In the regression discontinuity design (RDD), it is common practice to assess the credibility
of the design by testing whether the means of baseline covariates do not change at the cut …
of the design by testing whether the means of baseline covariates do not change at the cut …
Evaluating the causal effect of university grants on student dropout: evidence from a regression discontinuity design using principal stratification
Supplement to “Evaluating the causal effect of university grants on student dropout:
Evidence from a regression discontinuity design using principal stratification”. We describe …
Evidence from a regression discontinuity design using principal stratification”. We describe …
Regression discontinuity designs as local randomized experiments
In the seminal paper from 1960, Thistlethwaite and Campbell (1960) introduce the key ideas
underlying regression discontinuity (RD) designs, which, even if initially almost completely …
underlying regression discontinuity (RD) designs, which, even if initially almost completely …
Noise-induced randomization in regression discontinuity designs
Regression discontinuity designs are used to estimate causal effects in settings where
treatment is determined by whether an observed running variable crosses a pre-specified …
treatment is determined by whether an observed running variable crosses a pre-specified …
Platform-provided Disclosure on Investor Base and Entrepreneurial Success: Evidence from Crowdfunding
We employ a sharp regression discontinuity design to identify the causal effects of investor-
base disclosure (IB DISCLOSE) on funding outcomes and entrepreneurship success. Since …
base disclosure (IB DISCLOSE) on funding outcomes and entrepreneurship success. Since …
The local randomization framework for regression discontinuity designs: A review and some extensions
Regression discontinuity designs (RDDs) are a common quasi-experiment in economics
and statistics. The most popular methodologies for analyzing RDDs utilize continuity-based …
and statistics. The most popular methodologies for analyzing RDDs utilize continuity-based …
Selecting subpopulations for causal inference in regression discontinuity designs
The Brazil Bolsa Familia (BF) program is a conditional cash transfer program aimed to
reduce short-term poverty by direct cash transfers and to fight long-term poverty by …
reduce short-term poverty by direct cash transfers and to fight long-term poverty by …
Regression discontinuity designs with an ordinal running variable: Evaluating the effects of extended time accommodations for english-language learners
Regression discontinuity (RD) designs are commonly used for program evaluation with
continuous treatment assignment variables. But in practice, treatment assignment is …
continuous treatment assignment variables. But in practice, treatment assignment is …
Constructing multiple, independent analyses in the regression discontinuity design with multiple cutoffs
The regression discontinuity (RD) design is a commonly used non-experimental approach
for evaluating policy or program effects. However, this approach heavily relies on the …
for evaluating policy or program effects. However, this approach heavily relies on the …
Score manipulation, density continuity and intent‐to‐treat effect for regression discontinuity
Regression discontinuity (RD) is widely used in many disciplines of science to find treatment
effect when the treatment is determined by an underlying running variable ('score') crossing …
effect when the treatment is determined by an underlying running variable ('score') crossing …