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| Shift-Share 도구 변수 (Bartik 도구 변수)× | 내생적 회귀변수에 대한 도구변수(IV/2SLS) 2단계 최소제곱법× | |
|---|---|---|
| 분야 | 인과추론 | 인과추론 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2020 | 2009 |
| 창시자≠ | Bartik (1991); identification framework by Goldsmith-Pinkham, Sorkin & Swift (2020) and Borusyak, Hull & Jaravel (2022) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| 유형≠ | Instrumental-variable design | Instrumental-variables regression |
| 원전≠ | Goldsmith-Pinkham, P., Sorkin, I. & Swift, H. (2020). Bartik Instruments: What, When, Why, and How. American Economic Review, 110(8), 2586–2624. DOI ↗ | Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 별칭≠ | Bartik instrument, shift-share instrument, Shift-Share Araç Değişkeni (Bartik Instrument) | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| 관련 | 5 | 5 |
| 요약≠ | The shift-share instrumental variable, widely known as the Bartik instrument, is a causal-inference strategy that builds an instrument by interacting national or sector-level shocks (the shifts) with local composition weights (the shares). Its modern identification framework was set out by Goldsmith-Pinkham, Sorkin and Swift (2020) and Borusyak, Hull and Jaravel (2022). | IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009). |
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