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Regression modelQuasi-experimental / causal inference

Dinamičko balansiranje entropije

Dinamičko balansiranje entropije proširuje pristup ponovnog ponderisanja balansiranjem entropije na postavke sa vremenski promenljivim tretmanima u panel podacima ili longitudinalnim podacima. Ono konstruiše težine jedinica u svakom vremenskom periodu tako da su distribucije kovarijata tretiranih i uporednih jedinica uravnotežene na specificiranim momentima, sekvencijalno prilagođavajući se prethodnoj istoriji tretmana i vremenski promenljivim zbunjujućim faktorima kako bi se procenio kauzalni efekat sekvenci tretmana na ishode.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateDynamic Entropy Balancing (Dynamic Entropy Balancing for Longitudinal Causal Inference). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/dynamic-entropy-balancing · Skup podataka: https://doi.org/10.5281/zenodo.20539026