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Панельный метод точного согласования с укрупнением×Модель с фиксированными эффектами для панельных данных×
ОбластьПричинно-следственный выводЭконометрика
СемействоRegression modelRegression model
Год появления2012 (CEM); 2021 (panel extension)2014
Автор методаIacus, King & Porro (CEM, 2012); panel extension via Imai, Kim & Wang (2021)Hsiao (textbook treatment); within transformation of panel data
ТипMatching / quasi-experimentalPanel data regression
Основополагающий источникIacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Другие названияPanel CEM, CEM for panel data, coarsened exact matching with panel datafixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Связанные65
СводкаPanel Data Coarsened Exact Matching applies the Coarsened Exact Matching (CEM) algorithm to repeated-measures panel data, matching treated and control units within the same coarsened covariate strata across multiple time periods. It balances pre-treatment characteristics before estimating a causal treatment effect, combining the transparency of exact matching with the richer identification available in longitudinal datasets.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Panel Data Coarsened Exact Matching · Panel Fixed Effects. Получено 2026-06-18 из https://scholargate.app/ru/compare