विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्थानिक प्रति-तथ्यात्मक प्रभाव मूल्यांकन (SCIE)× | अंतर-में-अंतर (डिफ-इन-डिफ)× | |
|---|---|---|
| क्षेत्र≠ | कारणात्मक अनुमान | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2010s | 1994 |
| प्रवर्तक≠ | Cerqua, Pellegrini, and regional-science scholars building on counterfactual econometrics | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| प्रकार≠ | Quasi-experimental / causal inference | Causal inference / panel regression |
| मौलिक स्रोत≠ | 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 University Press. ISBN: 978-0691120355 |
| उपनाम≠ | SCIE, spatial CIE, place-based counterfactual evaluation, regional counterfactual analysis | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| संबंधित | 5 | 5 |
| सारांश≠ | 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. | 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. |
| ScholarGateडेटासेट ↗ |
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