Comparar métodos

	Modelo de Efeitos Aleatórios com Parâmetros Variáveis no Tempo	Modelo de Efeitos Aleatórios em Painel
Área	Econometria	Econometria
Família	Regression model	Regression model
Ano de origem	1970–1975	1966
Autor original	Swamy (1970); Hsiao (1975)	Balestra & Nerlove
Tipo	Panel regression with time-varying random coefficients	Panel data estimator
Fonte seminal	Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311–323.	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.
Outros nomes	TVP-RE model, random coefficient random effects model, time-varying random effects, TVP panel random effects	random effects estimator, RE model, GLS random effects, error components model
Relacionados	5	5
Resumo	The 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.