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시간 가변 계수 랜덤 효과 모형×패널 랜덤 효과 모형 (Panel Random Effects Model)×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도1970–19751966
창시자Swamy (1970); Hsiao (1975)Balestra & Nerlove
유형Panel regression with time-varying random coefficientsPanel data estimator
원전Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311–323. DOI ↗Balestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI ↗
별칭TVP-RE model, random coefficient random effects model, time-varying random effects, TVP panel random effectsrandom effects estimator, RE model, GLS random effects, error components model
관련55
요약The time-varying parameter random effects model extends the classic random effects panel framework by allowing regression coefficients to change over time and across units. Rather than imposing a single fixed slope for all individuals and periods, each coefficient is treated as a random draw that evolves, capturing genuine parameter instability while preserving the random effects assumption that unit-specific components are uncorrelated with the regressors.The panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.
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ScholarGate방법 비교: Time-varying parameter random effects model · Panel Random Effects Model. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare