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The Review of Economics and Statistics Vol. 100 No. 1 2018

Testing Rank Similarity

Brigham Frandsen; Lars Lefgren

Brigham Young University

Abstract

We introduce a test of the rank invariance or rank similarity assumption common in treatment effects and instrumental variables models. The test probes the implication that the conditional distribution of ranks should be identical across treatment states using a regression-based test statistic. We apply the test to data from the Tennessee STAR class-size reduction experiment and show that systematic slippages in rank can be important statistically and economically.

DOI
10.1162/rest_a_00675
Volume
100
Issue
1
Pages
86-91
Language
en
Sources
openalex crossref

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