Beyond Late
Estimation of the Average Treatment Effect with an Instrumental Variable
Dados Bibliográficos
| ID | 7971033 |
|---|---|
| Autores | Peter M Aronow (0000-0002-4449-0756, Yale University, autor correspondente), Allison Carnegie (0000-0002-9890-7916, Princeton University) |
| Ano | 2013 |
| Volume | 21 |
| Fascículo | 4 |
| Páginas | 492-506 |
| Data de publicação | 2013-01-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Political Analysis (JOURNAL) |
| Identificadores do periódico | ISSN: 1047-1987 • E-ISSN: 1476-4989 |
| Editora | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1093/pan/mpt013 |
| OpenAlex | W2333325822 |
| Idioma | EN |
| Citações recebidas | 18 |
| Referências citadas | 29 |
Political scientists frequently use instrumental variables (IV) estimation to estimate the causal effect of an endogenous treatment variable. However, when the treatment effect is heterogeneous, this estimation strategy only recovers the local average treatment effect (LATE). The LATE is an average treatment effect (ATE) for a subset of the population: units that receive treatment if and only if they are induced by an exogenous IV. However, researchers may instead be interested in the ATE for the entire population of interest. In this article, we develop a simple reweighting method for estimating the ATE, shedding light on the identification challenge posed in moving from the LATE to the ATE. We apply our method to two published experiments in political science in which we demonstrate that the LATE has the potential to substantively differ from the ATE
Average treatment effect · Biology · Causal inference · Econometrics · Economics · Estimation · Identification (biology · Instrumental variable · Population · Sociology · Statistics · Treatment effect · Variable (mathematics · Advanced Causal Inference Techniques · Electoral Systems and Political Participation · Mathematics · Medicine · School Choice and Performance · Demography
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| Obras citantes distintas | 18 |
|---|---|
| Citações por ano | 1,8 |
| Intervalo de citações | 2016 - 2026 (11) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 18 |