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| Shift-Share Analysis× | Инструментална променлива с изместване-дял (инструмент на Бартик)× | |
|---|---|---|
| Област≠ | Икономика | Причинно-следствено заключение |
| Семейство≠ | Process / pipeline | Regression model |
| Година на възникване≠ | 1960 | 2020 |
| Създател≠ | Edgar S. Dunn (Daniel Creamer credited with early use) | Bartik (1991); identification framework by Goldsmith-Pinkham, Sorkin & Swift (2020) and Borusyak, Hull & Jaravel (2022) |
| Тип≠ | Descriptive decomposition of regional growth | Instrumental-variable design |
| Основополагащ източник≠ | Dunn, E. S. (1960). A statistical and analytical technique for regional analysis. Papers of the Regional Science Association, 6(1), 97–112. DOI ↗ | Goldsmith-Pinkham, P., Sorkin, I. & Swift, H. (2020). Bartik Instruments: What, When, Why, and How. American Economic Review, 110(8), 2586–2624. DOI ↗ |
| Други названия≠ | Shift-Share Decomposition, SSA, Esteban-Marquillas Shift-Share, Regional Shift-Share | Bartik instrument, shift-share instrument, Shift-Share Araç Değişkeni (Bartik Instrument) |
| Свързани≠ | 3 | 5 |
| Резюме≠ | Shift-share analysis is a descriptive technique that decomposes the change in a regional variable — most often sectoral employment — into three additive components: the part attributable to overall national growth, the part attributable to the region's industry mix, and the part attributable to the region's own competitive performance. Formalized by Edgar Dunn in 1960, it answers whether a region grew because the national economy grew, because it specializes in fast-growing industries, or because its industries outperformed (or underperformed) their national counterparts. | 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). |
| ScholarGateНабор от данни ↗ |
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