Testing Rank Similarity
Bibliographic Data
| ID | 19315245 |
|---|---|
| Authors | Brigham R Frandsen (0000-0002-4283-413X, Brigham Young University), Lars J Lefgren (Brigham Young University), Lars Lefgren (0000-0002-8198-8094, Brigham Young University) |
| Year | 2018 |
| Volume | 100 |
| Issue | 1 |
| Pages | 86-91 |
| Publication date | 2018-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Review of Economics and Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0034-6535 • E-ISSN: 1530-9142 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/rest_a_00675 |
| OpenAlex | W2606619031 |
| Language | EN |
| Citations received | 8 |
| References cited | 21 |
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
Combinatorics · Econometrics · Rank (graph theory) · Similarity (geometry) · Statistic · Statistical hypothesis testing · Statistics · Test statistic · Advanced Causal Inference Techniques · Artificial Intelligence · Computer Science · Labor market dynamics and wage inequality · Mathematics · School Choice and Performance
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| Citations per year | 1 |
|---|---|
| Citation span | 2018 - 2025 (8) |
| Highly cited | No |