Global Representation of the Conditional LATE Model: A Separability Result
This paper studies the latent index representation of the conditional LATE model, making explicit the role of covariates in treatment selection. We find that if the directions of the monotonicity condition are the same across all values of the conditioning covariate, which is often assumed in the li...
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| Veröffentlicht in: | Oxford bulletin of economics and statistics 2022-08, Vol.84 (4), p.789-798 |
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| container_title | Oxford bulletin of economics and statistics |
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| creator | Chen, Yu‐Chang Xie, Haitian |
| description | This paper studies the latent index representation of the conditional LATE model, making explicit the role of covariates in treatment selection. We find that if the directions of the monotonicity condition are the same across all values of the conditioning covariate, which is often assumed in the literature, then the treatment choice equation has to satisfy a separability condition between the instrument and the covariate. This global representation result establishes testable restrictions imposed on the way covariates enter the treatment choice equation. We later extend the representation theorem to incorporate multiple ordered levels of treatment. |
| doi_str_mv | 10.1111/obes.12476 |
| format | Article |
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| ispartof | Oxford bulletin of economics and statistics, 2022-08, Vol.84 (4), p.789-798 |
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| source | EBSCOhost Business Source Complete; Access via Wiley Online Library |
| subjects | CLATE conditional local average treatment effect Conditioning Index Modellierung Theorie |
| title | Global Representation of the Conditional LATE Model: A Separability Result |
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