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통합 평균 그룹 (PMG) 추정량×패널 데이터 고정 효과 모형×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도19992014
창시자Pesaran, Shin & SmithHsiao (textbook treatment); within transformation of panel data
유형Panel cointegration estimatorPanel data regression
원전Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
별칭PMG Estimator, Pooled Mean Group, PMG Panel Estimator, Havuzlanmış Ortalama Grup Tahmincisifixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
관련25
요약The Pooled Mean Group (PMG) estimator, introduced by Pesaran, Shin, and Smith (1999), is a panel data technique designed for dynamic heterogeneous panels where the long-run equilibrium relationship is common across groups but short-run dynamics and error variances are allowed to differ. It is particularly suited for macro-panels with moderate N and T, such as cross-country growth, energy consumption, and financial development studies.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).
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