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| Többperiódusú Kontrafaktuális Hatásbecslés× | A különbség-különbségek (Diff-in-Diff) módszer× | |
|---|---|---|
| Tudományterület≠ | Oksági következtetés | Ökonometria |
| Módszercsalád | Regression model | Regression model |
| Keletkezés éve≠ | 2000s–2010s | 1994 |
| Megalkotó≠ | Developed through EU policy evaluation practice (European Commission); formalized by Lechner, Caliendo, and related econometricians | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Típus≠ | Causal inference / quasi-experimental evaluation | Causal inference / panel regression |
| Alapmű≠ | Caliendo, M., & Kopeinig, S. (2008). Some Practical Guidance for the Implementation of Propensity Score Matching. Journal of Economic Surveys, 22(1), 31-72. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Alternatív nevek≠ | multi-period CIE, longitudinal counterfactual evaluation, dynamic counterfactual impact evaluation, multi-wave CIE | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Kapcsolódó≠ | 4 | 5 |
| Összefoglaló≠ | Multi-period Counterfactual Impact Evaluation (CIE) estimates the causal effect of a policy or program by constructing what would have happened to treated units across multiple time periods had they not been treated. Unlike single-period evaluations, it tracks treatment effects as they evolve over time, capturing dynamic, delayed, or fading impacts that a two-period comparison would miss. | Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes. |
| ScholarGateAdatkészlet ↗ |
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