Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Ruumi-regressioonkatkestusdisain (Spatial RDD)× | Erinevused erinevustes (Diff-in-Diff)× | |
|---|---|---|
| Valdkond≠ | Põhjuslik järeldamine | Ökonomeetria |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 2010s | 1994 |
| Looja≠ | Popularized by Dell (2010); formalized for geographic boundaries by Keele & Titiunik (2015) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| Tüüp≠ | Quasi-experimental causal inference | Causal inference / panel regression |
| Algallikas≠ | Dell, M. (2010). The Persistent Effects of Peru's Mining Mita. Econometrica, 78(6), 1863-1903. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| Rööpnimetused≠ | Spatial RDD, Geographic RDD, Border RD Design, Geographic Discontinuity Design | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| Seotud≠ | 4 | 5 |
| Kokkuvõte≠ | Spatial Regression Discontinuity Design uses a geographic or administrative boundary as the threshold that assigns units to treatment. Observations just inside one side of the boundary are compared with those just outside it, exploiting the near-random variation in treatment status near the cutoff to recover a local causal effect. The approach is widely used in economics, political science, and public health when policies or institutions change sharply at a border. | 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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