Testing continuity of a density via \(g\)-order statistics in the regression discontinuity design

DOI10.1016/j.jeconom.2020.02.004zbMath1464.62270arXiv1803.07951OpenAlexW3015110170MaRDI QIDQ2225008

Ivan A. Canay, Federico A. Bugni

Publication date: 4 February 2021

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.07951

zbMATH Keywords

continuitydensitysign testsregression discontinuity design\(g\)-ordered statistics

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric hypothesis testing (62G10) Order statistics; empirical distribution functions (62G30)

Related Items (2)

Permutation‐based tests for discontinuities in event studies ⋮ Permutation Tests at Nonparametric Rates

Uses Software

• rdlocrand

Cites Work

• Regression discontinuity designs: a guide to practice
• Randomized experiments from non-random selection in U.S. House elections
• Manipulation of the running variable in the regression discontinuity design: a density test
• Approximate distributions of order statistics. With applications to nonparametric statistics
• Convergence of sample paths of normalized sums of induced order statistics
• On conditional distributions of nearest neighbors
• On nonparametric confidence intervals
• The asymptotic theory of concomitants of order statistics
• Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design
• Randomization Tests Under an Approximate Symmetry Assumption
• Optimal Inference in a Class of Regression Models
• ON NONPARAMETRIC INFERENCE IN THE REGRESSION DISCONTINUITY DESIGN
• Simple and honest confidence intervals in nonparametric regression
• Testing Statistical Hypotheses

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