Randomization Tests Under an Approximate Symmetry Assumption
From MaRDI portal
Publication:4614967
DOI10.3982/ECTA13081zbMath1410.62103MaRDI QIDQ4614967
Ivan A. Canay, Joseph P. Romano, Azeem M. Shaikh
Publication date: 1 February 2019
Published in: Econometrica (Search for Journal in Brave)
weak convergenceheterogeneityclustered datarandomization testsdependencesymmetric distributionsign changesdifferences-in-differences
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05)
Related Items (15)
Some impossibility results for inference with cluster dependence with large clusters ⋮ What's trending in difference-in-differences? A synthesis of the recent econometrics literature ⋮ Cluster-robust inference: a guide to empirical practice ⋮ Tests for group-specific heterogeneity in high-dimensional factor models ⋮ Permutation Tests at Nonparametric Rates ⋮ On the implementation of approximate randomization tests in linear models with a small number of clusters ⋮ A mixed placebo test for synthetic control method ⋮ Testing continuity of a density via \(g\)-order statistics in the regression discontinuity design ⋮ Randomization inference for difference-in-differences with few treated clusters ⋮ Covariate-adjusted Fisher randomization tests for the average treatment effect ⋮ Matching estimators with few treated and many control observations ⋮ Asymptotic theory for clustered samples ⋮ Simple and trustworthy cluster-robust GMM inference ⋮ Placebo inference on treatment effects when the number of clusters is small ⋮ RANDOMIZATION TESTS OF COPULA SYMMETRY
This page was built for publication: Randomization Tests Under an Approximate Symmetry Assumption
