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Dynamisk OLS-estimator (Dynamic Ordinary Least Squares, DOLS)×Paneldatamodell med fixa effekter×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår19932014
UpphovspersonStock & Watson (1993); panel extension Kao & Chiang (2001)Hsiao (textbook treatment); within transformation of panel data
TypCointegrating regression estimatorPanel data regression
UrsprungskällaStock, 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 ↗
AliasDOLS, 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
Närliggande55
SammanfattningDynamic 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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ScholarGateJämför metoder: Dynamic OLS · Panel Fixed Effects. Hämtad 2026-06-18 från https://scholargate.app/sv/compare