Σύγκριση μεθόδων

	Μοντέλο Δυναμικών Δεδομένων Πάνελ	Μοντέλο Τυχαίων Επιδράσεων Πάνελ
Πεδίο	Οικονομετρία	Οικονομετρία
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1991–1998	1966
Δημιουργός	Arellano & Bond (1991); Blundell & Bond (1998)	Balestra & Nerlove
Τύπος	Dynamic panel regression	Panel data estimator
Θεμελιώδης πηγή	Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277–297.	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.
Εναλλακτικές ονομασίες	dynamic panel model, lagged dependent variable panel model, Arellano-Bond type dynamic panel, GMM dynamic panel	random effects estimator, RE model, GLS random effects, error components model
Συναφείς	5	5
Σύνοψη	The dynamic panel data model extends standard panel regression by including one or more lagged values of the outcome variable as regressors. Because past outcomes directly predict current outcomes, the model captures persistence and adjustment dynamics — but it also introduces a correlation between the lagged dependent variable and the individual fixed effect, rendering OLS and standard fixed-effects estimators inconsistent. GMM-based approaches developed by Arellano-Bond and Blundell-Bond resolve this problem.	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.