Testing Rank Similarity

Brigham R. Frandsen and Lars Lefgren ()
Additional contact information
Brigham R. Frandsen: Brigham Young University

The Review of Economics and Statistics, 2018, vol. 100, issue 1, 86-91

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.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (27)

Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/REST_a_00675 (application/pdf)
Access to PDF is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:100:y:2018:i:1:p:86-91

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().