2025 In-Depth Interpretation: Advanced DID, Machine Learning, and Cutting-Edge Literature on Regression Discontinuity

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 ...
JSTOR Daily

ON NONPARAMETRIC INFERENCE IN THE REGRESSION DISCONTINUITY DESIGN

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 ...
RIETI独立行政法人経済産業研究所

Regression Discontinuity Design As a Policy Impact Assessment Methodology - Assumptions, Key Points of Interpretation and Limitations for Practical Application

The Regression Discontinuity Design (RDD) is one of the emerging methodology for recent policy impact assessment area. But based on the unique nature of RDD, its assumptions for practical application ...
JSTOR Daily

Estimation and Inference of Discontinuity in Density

Continuity or discontinuity of probability density functions of data often plays a fundamental role in empirical economic analysis. For example, for identification and inference of causal effects in ...
Princeton University

Inference in Nonstandard Problems

Paper: "Robust Nonparametric Bias-Corrected Inference in the Regression Discontinuity Design", (joint work with Sebastian Calonico and Rocio Titiunik).