In 2025, the field of quantitative research continues to thrive, with new research findings emerging constantly. This article will focus on the recent advanced DID (Difference-in-Differences), machine ...
This paper studies the validity of nonparametric tests used in the regression discontinuity design. The null hypothesis of interest is that the average treatment effect at the threshold in the ...
The increasing popularity of regression discontinuity methods for causal inference in observational studies has led to a proliferation of different estimating strategies, most of which involve first ...
Understanding the risks associated with opioid prescription in adolescents is critical for informing opioid policy, but the risks are challenging to quantify given the lack of randomized trial data.
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine ...
Gerardino, Maria Paula, Stephan Litschig, and Dina D. Pomeranz. "Monitoring Public Procurement: Evidence from a Regression Discontinuity Design in Chile." Working Paper, September 2014. (Latest ...
San Francisco, June 10, 2024 (GLOBE NEWSWIRE) -- June 10, 2024, Noida/San Francisco: LambdaTest, a leading cloud-based unified testing platform, announces the launch of its innovative Smart UI Figma ...
This article will focus on the recent cutting-edge research literature on advanced DID (Difference-in-Differences), machine learning, and Regression Discontinuity (RD), providing researchers with a ...
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