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Panel SARIMA-model×Panel ARIMA Model×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår1976 (SARIMA); 1990s (panel extensions)1970s–2000s
OphavspersonBox & Jenkins (SARIMA foundation); panel extension via mean-group and pooled estimatorsExtension of Box-Jenkins ARIMA (Box & Jenkins, 1970) to panel settings; formalised in panel econometrics literature (Hsiao, 2003)
TypeSeasonal time series panel modelTime-series model applied to panel data
Oprindelig kildeBox, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control. Holden-Day. ISBN: 978-0470272848Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
AliasserPanel SARIMA, Seasonal ARIMA panel model, SARIMA panel estimation, grouped seasonal time series modelPanel ARIMA, ARIMA for panel data, cross-sectional ARIMA, multi-unit ARIMA
Relaterede55
ResuméThe Panel SARIMA model applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) framework to panel data, fitting individual or pooled seasonal time series models across multiple cross-sectional units. It captures both non-seasonal and seasonal autocorrelation, trends, and periodicity, making it suitable for datasets where multiple entities share a common seasonal structure over time.The Panel ARIMA model extends the classical Box-Jenkins ARIMA framework to panel data, fitting autoregressive integrated moving-average dynamics to multiple cross-sectional units observed over time. It accommodates unit-specific short-run dynamics and non-stationarity, making it suitable for forecasting and dynamic analysis when both cross-sectional and temporal dimensions are present.
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ScholarGateSammenlign metoder: Panel SARIMA model · Panel ARIMA model. Hentet 2026-06-17 fra https://scholargate.app/da/compare