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| Просторне прекидне временске серије× | Prostorna analiza kauzalnog uticaja× | |
|---|---|---|
| Oblast | Kauzalno zaključivanje | Kauzalno zaključivanje |
| Porodica | Regression model | Regression model |
| Godina nastanka≠ | 1990s–2000s | 2010s (codified) |
| Tvorac≠ | Extension of McDowall et al. (1980) ITS framework; spatial adaptations developed in epidemiology and geography through the 1990s–2000s | Delgado & Florax (spatial DiD); Halleck Vega & Elhorst (SLX model); broader lineage in spatial econometrics (Anselin, 1988) |
| Tip≠ | Quasi-experimental causal inference with spatial adjustment | Quasi-experimental causal inference with spatial data |
| Temeljni izvor≠ | McDowall, D., McCleary, R., Meidinger, E. E., & Hay, R. A. (1980). Interrupted Time Series Analysis. Sage Publications. ISBN: 978-0803913950 | Delgado, M. S., & Florax, R. J. G. M. (2015). Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction. Economics Letters, 137, 123-126. DOI ↗ |
| Drugi nazivi | Spatial ITS, Geospatial ITS, Spatially-adjusted ITS, SITS | spatial causal inference, geo-causal analysis, spatial treatment effect estimation, spatial impact evaluation |
| Srodne≠ | 6 | 4 |
| Sažetak≠ | Spatial Interrupted Time Series (Spatial ITS) extends the classic ITS design to settings where units are geo-referenced and outcomes in one location may spill over into or correlate with outcomes in neighbouring locations. It estimates the causal effect of a discrete intervention on an outcome time series while explicitly modelling geographic autocorrelation, preventing biased standard errors and enabling detection of spatial spillovers. | Spatial causal impact analysis estimates the causal effect of a spatially-targeted intervention — a policy, shock, or treatment applied to particular locations — while explicitly accounting for geographic spillovers between treated and untreated units. By combining quasi-experimental designs such as difference-in-differences or regression discontinuity with spatial econometric models, it separates the direct local effect of a treatment from indirect effects that diffuse to neighbouring areas. |
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