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Regression modelQuasi-experimental / causal inference

Usawazishaji wa Entropy unaobadilika

Usawazishaji wa Entropy unaobadilika unapanua mbinu ya kuongeza uzito ya usawazishaji wa entropy kwa mazingira yenye matibabu yanayobadilika kwa wakati katika data ya paneli au data ya muda mrefu. Unaunda uzito wa vitengo katika kila kipindi cha muda ili usambazaji wa vigezo vya vigezo vya vitengo vilivyotibiwa na vya kulinganisha viwe sawa kwa wakati, ukirekebisha mfululizo kwa historia ya matibabu ya awali na vigezo vinavyobadilika kwa wakati ili kukadiria athari ya kisababishi cha mfuatano wa matibabu kwa matokeo.

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Vyanzo

  1. Hainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46. DOI: 10.1093/pan/mpr025
  2. Blackwell, M., & Glynn, A. N. (2018). How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables. American Political Science Review, 112(4), 1067-1082. DOI: 10.1017/S0003055418000357

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Dynamic Entropy Balancing for Longitudinal Causal Inference. ScholarGate. https://scholargate.app/sw/causal-inference/dynamic-entropy-balancing

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ScholarGateDynamic Entropy Balancing (Dynamic Entropy Balancing for Longitudinal Causal Inference). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/dynamic-entropy-balancing · Seti ya data: https://doi.org/10.5281/zenodo.20539026