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Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Панелно събитийно изследване на политиката× | Метод на инструменталните променливи (IV) за причинно-следствен анализ× | |
|---|---|---|
| Област≠ | Причинно-следствено заключение | Икономика на здравеопазването |
| Семейство≠ | Regression model | Process / pipeline |
| Година на възникване≠ | 2021 | 1990s (modern applications) |
| Създател≠ | Callaway & Sant'Anna (2021); Borusyak, Jaravel & Spiess (2024); Sun & Abraham (2021) | Angrist & Pischke (applied econometrics); rooted in econometric theory |
| Тип≠ | Causal inference / quasi-experimental panel design | Method |
| Основополагащ източник≠ | Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ |
| Други названия | panel event study, event-study DiD, staggered event study, difference-in-differences event study | IV, two-stage least squares, TSLS, causal estimation |
| Свързани≠ | 6 | 3 |
| Резюме≠ | A panel event study is a quasi-experimental design that traces how an outcome evolves in periods before and after a policy event, using unit and time fixed effects to identify the causal effect. Widely used in economics and policy research, it tests for anticipation effects, verifies parallel pre-trends, and estimates dynamic treatment effects across post-treatment horizons — making it the standard toolkit for rigorous policy evaluation with observational panel data. | 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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