Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design

DOI10.1093/restud/rdx062zbMath1409.62095OpenAlexW3125955138MaRDI QIDQ4610928

Ivan A. Canay, Vishal Kamat

Publication date: 23 January 2019

Published in: The Review of Economic Studies (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/restud/rdx062

zbMATH Keywords

rank testspermutation testsrandomization testsregression discontinuity designinduced order statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Order statistics; empirical distribution functions (62G30)

Related Items

Comparing distributions by multiple testing across quantiles or CDF values ⋮ Permutation‐based tests for discontinuities in event studies ⋮ Isotonic regression discontinuity designs ⋮ Permutation Tests at Nonparametric Rates ⋮ On the implementation of approximate randomization tests in linear models with a small number of clusters ⋮ Regression discontinuity designs with unknown state-dependent discontinuity points: estimation and testing ⋮ Testing continuity of a density via \(g\)-order statistics in the regression discontinuity design ⋮ Identification and wavelet estimation of weighted ATE under discontinuous and kink incentive assignment mechanisms

This page was built for publication: Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design