arXiv 29 Jun 2019 · Econometrics · publishedJournal of the Royal Statistical Society Series A (Statistics in Society) (2024) · 7 citations (OpenAlex)
arXiv:1907.00222 · PDF · DOI · OpenAlex · Extracted main text
Many economic studies use shift-share instruments to estimate causal effects. Often, all shares need to fulfil an exclusion restriction, making the identifying assumption strict. This paper proposes to use methods that relax the exclusion restriction by selecting invalid shares. I apply the methods in two empirical examples: the effect of immigration on wages and of Chinese import exposure on employment. In the first application, the coefficient becomes lower and often changes sign, but this is reconcilable with arguments made in the literature. In the second application, the findings are mostly robust to the use of the new methods.
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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 | Borusyak, K., P. Hull, and X. Jaravel (2020) Quasi-Experimental Shift-Share Research Designs | 1.000 | 11 | 4 | 100% |
| 2 | Autor, D. H., D. Dorn, and G. H. Hanson (2013) The China Syndrome: Local Labor Market Effects of Import Competition in the United States | 0.928 | 5 | 3 | 80% |
| 3 | Adão, R., M. Kolesár, and E. Morales (2019) Shift-Share Designs: Theory and Inference | 0.928 | 4 | 3 | 100% |
| 4 | Goldsmith-Pinkham, P., I. Sorkin, and H. Swift (2020) Bartik Instruments: What, When, Why, and How | 0.909 | 8 | 4 | 75% |
| 5 | Jaeger, D. A., J. Ruist, and J. Stuhler (2020) Shift-Share Instruments and the Impact of Immigration | 0.874 | 8 | 2 | 100% |
| 6 | Windmeijer, F., X. Liang, F. P. Hartwig, and J. Bowden (2020) The Confidence Interval Method for Selecting Valid Instrumental Variables | 0.794 | 6 | 3 | 50% |
| 7 | Windmeijer, F., H. Farbmacher, N. Davies, and G. D. Smith (2019) On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments | 0.737 | 5 | 3 | 40% |
| 8 | Basso, G. and G. Peri (2015) The Association Between Immigration and Labor Market Outcomes in the United States | 0.644 | 4 | 2 | 50% |
| 9 | Card, D (2009) Immigration and Inequality | 0.644 | 2 | 2 | 100% |
| 10 | Tabellini, M (2020) Gifts of the Immigrants, Woes of the Natives: Lessons From the Age of Mass Migration | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 59 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator | 0.405 | 1 | 1 |