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Regression modelQuasi-experimental / causal inference

Uchambuzi wa Uh sensitive wa Kina kwa Uelekezi

Uchambuzi wa uh sensitive wa kina kwa uelekezi hupima kwa utaratibu iwapo makadirio ya sababu yaliyotokana na data iliyorejelewa kwa anga hufanyika huku muundo wa anga, athari za kuenea, na uchaguzi wa tumbo la uzito la anga likibadilishwa. Kwa sababu vitengo vilivyo karibu mara nyingi hushiriki vighairi visivyoonekana — ubora wa udongo, miundombinu ya ndani, kanuni za ujirani — urejeshaji wa kawaida unaweza kutoa makadirio ya sababu yaliyopotoka. Njia hii inaonyesha jinsi athari ya sababu inayodaiwa ilivyo dhaifu au imara kwa vipimo mbadala vya anga.

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Vyanzo

  1. Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht. ISBN: 978-9024737322
  2. Reich, B. J., Yang, S., Guan, Y., Giffin, A. B., Miller, M. J., & Rappold, A. G. (2021). A review of spatial causal inference methods for environmental and epidemiological applications. International Statistical Review, 89(3), 605-634. DOI: 10.1111/insr.12452

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Spatial Sensitivity Analysis for Causal Inference. ScholarGate. https://scholargate.app/sw/causal-inference/spatial-sensitivity-analysis-for-causality

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ScholarGateSpatial Sensitivity Analysis for Causality (Spatial Sensitivity Analysis for Causal Inference). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/spatial-sensitivity-analysis-for-causality · Seti ya data: https://doi.org/10.5281/zenodo.20539026