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Regression modelQuasi-experimental / causal inference

Tathmini ya Sera Uzito wa Uwezekano wa Kinyume

Tathmini ya sera kwa kutumia uzito wa uwezekano wa kinyume (IPW) hutumia alama za utabiri zilizohesabiwa ili kuweka uzito upya vitengo vilivyoonekana ili sampuli yenye uzito iweze kuiga jaribio la nasibu. Kila kitengo hupewa uzito kwa kinyume cha uwezekano wake wa kupokea sera, na kuunda kundi bandia ambalo mgao wa matibabu hauna uhusiano na vigezo vilivyoonekana na athari ya wastani ya matibabu (ATE) inaweza kusomwa moja kwa moja.

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Vyanzo

  1. Imbens, G. W., & Wooldridge, J. M. (2009). Recent Developments in the Econometrics of Program Evaluation. Journal of Economic Literature, 47(1), 5-86. DOI: 10.1257/jel.47.1.5
  2. Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal Structural Models and Causal Inference in Epidemiology. Epidemiology, 11(5), 550-560. DOI: 10.1097/00001648-200009000-00011

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Inverse Probability Weighting for Policy Evaluation. ScholarGate. https://scholargate.app/sw/causal-inference/policy-evaluation-inverse-probability-weighting

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Linganisha bega kwa bega
ScholarGatePolicy Evaluation Inverse Probability Weighting (Inverse Probability Weighting for Policy Evaluation). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/causal-inference/policy-evaluation-inverse-probability-weighting · Seti ya data: https://doi.org/10.5281/zenodo.20539026