Testing the Accuracy of Regression Discontinuity Analysis Using Experimental Benchmarks
By Donald P. Green, Terence Leong, H. Kern, A. Gerber, C. Larimer. Political Analysis, 2009
114 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/38b2df9f99d0aa27496665f92d07a28d67da783b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Adam Zelizer
- Andrew Gelman
- T. Dunning
- Jonathan Rodden
- Abhijit Banerjee
- Luke Keele
- Paul-Christian Burkner
- Daniel M. McNeish
Citations in the corpus
- The Statistics of Causal Inference: A View from Political Methodology (2015, background): “by recovering experimental benchmarks (Cook, Shadish and Wong 2008; Green et al. 2009).”
- Do Conditional Cash Transfers Affect Electoral Behavior? Evidence from a Randomized Experiment in Mexico (2013, background): “While expanding the interval around the eligibility threshold would increase precision, it would also increase the probability of bias (Green et al. 2009).”
- Evidence on the deleterious impact of sustained use of polynomial regression on causal inference (2015, methodology): “Our message is also consistent with that of Green et al. (2009), who recommend comparing observational studies with controlled experiments where possible.”