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Model Panel SARIMA×Analýza panelových dát×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1976 (SARIMA); 1990s (panel extensions)1966–1978
TvorcaBox & Jenkins (SARIMA foundation); panel extension via mean-group and pooled estimatorsBalestra & Nerlove (1966); Mundlak (1978); Hausman (1978)
TypSeasonal time series panel modelPanel regression framework
Pôvodný zdrojBox, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control. Holden-Day. ISBN: 978-0470272848Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528
Ďalšie názvyPanel SARIMA, Seasonal ARIMA panel model, SARIMA panel estimation, grouped seasonal time series modellongitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysis
Príbuzné55
ZhrnutieThe 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.Panel data analysis models data that track multiple units — countries, firms, individuals — over time, enabling researchers to control for unobserved unit-level heterogeneity that would otherwise bias cross-sectional or time-series estimates. The two core specifications are fixed effects and random effects, selected via the Hausman test.
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ScholarGatePorovnať metódy: Panel SARIMA model · Panel Data Analysis. Získané 2026-06-17 z https://scholargate.app/sk/compare