Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Пространствена контрафактуална оценка на въздействието (SCIE)× | Метод на инструменталните променливи (IV) за причинно-следствен анализ× | |
|---|---|---|
| Област≠ | Причинно-следствено заключение | Икономика на здравеопазването |
| Семейство≠ | Regression model | Process / pipeline |
| Година на възникване≠ | 2010s | 1990s (modern applications) |
| Създател≠ | Cerqua, Pellegrini, and regional-science scholars building on counterfactual econometrics | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| Тип≠ | Quasi-experimental / causal inference | Method |
| Основополагащ източник≠ | Cerqua, A., & Pellegrini, G. (2014). Do subsidies to private capital boost firms' growth? A multiple regression discontinuity design approach. Journal of Public Economics, 109, 114-126. DOI ↗ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ |
| Други названия | SCIE, spatial CIE, place-based counterfactual evaluation, regional counterfactual analysis | IV, two-stage least squares, TSLS, causal estimation |
| Свързани≠ | 5 | 3 |
| Резюме≠ | Spatial Counterfactual Impact Evaluation (SCIE) is a family of quasi-experimental methods that estimate the causal effect of geographically targeted policies — such as EU Cohesion Funds, enterprise zones, or place-based subsidies — by constructing a spatial counterfactual: what outcomes the treated region would have experienced without the intervention, inferred from comparable untreated regions or from discontinuities at policy boundaries. | Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the causal effect from the noise of confounding. Developed extensively in econometrics (Angrist & Pischke, 1990s–2000s), IV methods are increasingly used in health economics and health services research to leverage natural experiments and policy changes. |
| ScholarGateНабор от данни ↗ |
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