Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Ruumiiline erinevus-kahest-erinevusest× | Erinevused erinevustes (Diff-in-Diff)× | |
|---|---|---|
| Valdkond≠ | Põhjuslik järeldamine | Ökonomeetria |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 2015 | 1994 |
| Looja≠ | Delgado & Florax | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tüüp≠ | Quasi-experimental estimator | Causal inference / panel regression |
| Algallikas≠ | Delgado, M. S., & Florax, R. J. G. M. (2015). Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction. Economics Letters, 126, 35–40. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Rööpnimetused≠ | Spatial DiD, Geo-DiD, Difference-in-Differences with Spatial Autocorrelation, Mekansal Fark-içinde-Farklar | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Seotud≠ | 3 | 5 |
| Kokkuvõte≠ | Spatial Difference-in-Differences (Spatial DiD) extends the classical DiD estimator to settings where observations are geo-referenced and outcomes may be spatially autocorrelated or subject to spillover effects. Introduced by Delgado and Florax (2015), the method augments the standard two-way fixed-effects DiD regression with a spatial lag or spatial error term, yielding unbiased treatment-effect estimates even when policy shocks propagate across geographic units. It is used by economists, regional scientists, and urban planners evaluating place-based interventions such as infrastructure investment, environmental regulations, or zoning reforms. | 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. |
| ScholarGateAndmestik ↗ |
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