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Dynamisk OLS-estimator (Dynamic Ordinary Least Squares - DOLS)×Panel Data Fixed Effects Model×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19932014
OphavspersonStock & Watson (1993); panel extension Kao & Chiang (2001)Hsiao (textbook treatment); within transformation of panel data
TypeCointegrating regression estimatorPanel data regression
Oprindelig kildeStock, J. H. & Watson, M. W. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica, 61(4), 783–820. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasserDOLS, Stock-Watson dynamic OLS, dynamic least squares cointegration estimator, Dinamik OLS (DOLS)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Relaterede55
ResuméDynamic OLS is a cointegrating-regression estimator introduced by Stock and Watson (1993) that recovers the long-run relationship between I(1) variables. It augments the static regression with leads and lags of the differenced regressors, correcting endogeneity bias parametrically so that the long-run coefficient can be estimated by ordinary least squares.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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ScholarGateSammenlign metoder: Dynamic OLS · Panel Fixed Effects. Hentet 2026-06-17 fra https://scholargate.app/da/compare