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Regression modelQuasi-experimental / causal inference

Uzito wa Alama ya Mfumo wa Kuendesha kwa Tathmini ya Sera

Uzito wa alama ya mfumo wa kuendesha kwa tathmini ya sera hutumia uzito wa uwezekano wa kinyume (inverse-probability weighting) kwa data ya uchunguzi ili kukadiria athari ya kisababishi ya mpango wa sera. Kwa kuweka uzito tena washiriki na wasioshiriki ili wafanane na idadi ya watu inayolengwa, huondoa upendeleo wa uteuzi kutoka kwa usajili wa mpango wa hiari au wa kiutawala bila kuhitaji urandomishaji.

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Vyanzo

  1. 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: 10.1111/1468-0262.00442
  2. Caliendo, M., & Kopeinig, S. (2008). Some Practical Guidance for the Implementation of Propensity Score Matching. Journal of Economic Surveys, 22(1), 31-72. DOI: 10.1111/j.1467-6419.2007.00527.x

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Propensity Score Weighting for Policy Evaluation. ScholarGate. https://scholargate.app/sw/causal-inference/policy-evaluation-propensity-score-weighting

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