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| स्थानिक व्युत्क्रम संभाव्यता भारण (स्थानिक IPW)× | अंतर-में-अंतर (डिफ-इन-डिफ)× | |
|---|---|---|
| क्षेत्र≠ | कारणात्मक अनुमान | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2010s | 1994 |
| प्रवर्तक≠ | Extension of Rosenbaum & Rubin (1983) IPW to spatial settings; formal treatment by Papadogeorgou et al. (2019) | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) |
| प्रकार≠ | Quasi-experimental / causal inference | Causal inference / panel regression |
| मौलिक स्रोत≠ | Hirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI ↗ | Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| उपनाम≠ | Spatial IPW, Geographic IPW, Spatially-weighted IPW, SIPW | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Spatial Inverse Probability Weighting extends the classical IPW estimator to settings where units are geo-referenced and spatial location is a confounding dimension. By incorporating geographic coordinates or spatial proximity into the propensity score model, it reweights the observed sample so that treatment and control groups are balanced not only on measured covariates but also on spatial structure, enabling credible causal inference from spatially indexed observational data. | 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. |
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