On Policy Evaluation with Aggregate Time-Series Shocks
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2019
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| _version_ | 1866913267257966592 |
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| author | Arkhangelsky, Dmitry Korovkin, Vasily |
| author_facet | Arkhangelsky, Dmitry Korovkin, Vasily |
| contents | We develop an estimator for applications where the variable of interest is endogenous and researchers have access to aggregate instruments. Our method addresses the critical identification challenge -- unobserved confounding, which renders conventional estimators invalid. Our proposal relies on a new data-driven aggregation scheme that eliminates the unobserved confounders. We illustrate the advantages of our algorithm using data from Nakamura and Steinsson (2014) study of local fiscal multipliers. We introduce a finite population model with aggregate uncertainty to analyze our estimator. We establish conditions for consistency and asymptotic normality and show how to use our estimator to conduct valid inference. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1905_13660 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | On Policy Evaluation with Aggregate Time-Series Shocks Arkhangelsky, Dmitry Korovkin, Vasily Econometrics General Economics Economics We develop an estimator for applications where the variable of interest is endogenous and researchers have access to aggregate instruments. Our method addresses the critical identification challenge -- unobserved confounding, which renders conventional estimators invalid. Our proposal relies on a new data-driven aggregation scheme that eliminates the unobserved confounders. We illustrate the advantages of our algorithm using data from Nakamura and Steinsson (2014) study of local fiscal multipliers. We introduce a finite population model with aggregate uncertainty to analyze our estimator. We establish conditions for consistency and asymptotic normality and show how to use our estimator to conduct valid inference. |
| title | On Policy Evaluation with Aggregate Time-Series Shocks |
| topic | Econometrics General Economics Economics |
| url | https://arxiv.org/abs/1905.13660 |