قارن الطرق

	نموذج بانل ساريما	تحليل بيانات السلاسل الزمنية المقطعية
المجال	الاقتصاد القياسي	الاقتصاد القياسي
العائلة	Regression model	Regression model
سنة النشأة	1976 (SARIMA); 1990s (panel extensions)	1966–1978
صاحب الطريقة	Box & Jenkins (SARIMA foundation); panel extension via mean-group and pooled estimators	Balestra & Nerlove (1966); Mundlak (1978); Hausman (1978)
النوع	Seasonal time series panel model	Panel regression framework
المصدر التأسيسي	Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control. Holden-Day. ISBN: 978-0470272848	Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528
الأسماء البديلة	Panel SARIMA, Seasonal ARIMA panel model, SARIMA panel estimation, grouped seasonal time series model	longitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysis
ذات صلة	5	5
الملخص	The 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.