Dmitry Arkhangelsky, Vasily Korovkin
arXiv 31 May 2019 · Econometrics · 3 citations (OpenAlex)
arXiv:1905.13660 · PDF · DOI · OpenAlex · Extracted main text
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.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Rodrigo Adao, Michal Kolesár, and Eduardo Morales (2019) Shift-share designs: Theory and inference | 1.000 | 6 | 3 | 100% |
| 2 | Guido W Imbens and Joshua D Angrist (1994) Identification and estimation of local average treatment effects | 1.000 | 6 | 3 | 100% |
| 3 | Kirill Borusyak, Peter Hull, and Xavier Jaravel (2022) Quasi-experimental shift-share research designs | 1.000 | 5 | 3 | 100% |
| 4 | Adam M Guren, Alisdair McKay, Emi Nakamura, and Jón Steinsson (2020) Housing wealth effects: The long view | 1.000 | 5 | 3 | 100% |
| 5 | Emi Nakamura and Jon Steinsson (2014) Fiscal stimulus in a monetary union: Evidence from us regions | 0.952 | 29 | 7 | 86% |
| 6 | Gabriel Chodorow-Reich, Plamen T Nenov, and Alp Simsek (2021) Stock market wealth and the real economy: A local labor market approach | 0.843 | 3 | 3 | 100% |
| 7 | Guido W Imbens and Davide Viviano (2023) Identification and inference for synthetic controls with confounding | 0.811 | 4 | 2 | 100% |
| 8 | Alberto Abadie, Susan Athey, Guido W Imbens, and Jeffrey M Wooldridge (2023) When should you adjust standard errors for clustering? | 0.737 | 3 | 2 | 100% |
| 9 | Jushan Bai (2009) Panel data models with interactive fixed effects | 0.737 | 3 | 2 | 100% |
| 10 | Kirill Borusyak and Peter Hull (2023) Nonrandom exposure to exogenous shocks | 0.737 | 3 | 2 | 100% |
Showing the top 10 of 37 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Forecasted Treatment Effects with Short Panels | 0.405 | 1 | 1 |
| 2 | Causal Models for Longitudinal and Panel Data: A Survey | 0.405 | 1 | 1 |
| 3 | Microfoundations and the Causal Interpretation of Price-Exposure Designs | 0.405 | 1 | 1 |