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Regression modelSpatial causal inference

Tofauti za Maeneo-ndani-ya-Tofauti

Tofauti za Maeneo-ndani-ya-Tofauti (Spatial DiD) hupanua kionjo cha kawaida cha DiD kwa mazingira ambapo maangalizi yana maelezo ya kijiografia na matokeo yanaweza kuwa na uhusiano wa kimaeneo au kuathiriwa na athari za kuenea. Imeanzishwa na Delgado na Florax (2015), mbinu hii huongeza usawa wa kawaida wa athari mbili za DiD na kidaraja cha kimaeneo au kipengele cha makosa ya kimaeneo, na kutoa makadirio ya athari ya matibabu yasiyo na upendeleo hata pale msukumo wa sera unapoenea katika vitengo vya kijiografia. Inatumiwa na wanauchumi, wanasayansi wa kikanda, na wapangaji wa mijini wanaotathmini hatua za msingi wa maeneo kama vile uwekezaji wa miundombinu, kanuni za mazingira, au mageuzi ya upangaji.

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Vyanzo

  1. 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: 10.1016/j.econlet.2015.10.035

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Spatial Difference-in-Differences. ScholarGate. https://scholargate.app/sw/causal-inference/spatial-difference-in-differences

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateSpatial Difference-in-Differences (Spatial Difference-in-Differences). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/spatial-difference-in-differences · Seti ya data: https://doi.org/10.5281/zenodo.20539026