مقایسهٔ روش‌ها

	مدل پانل آریما	تحلیل داده‌های پانل
حوزه	اقتصادسنجی	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	1970s–2000s	1966–1978
پدیدآور	Extension of Box-Jenkins ARIMA (Box & Jenkins, 1970) to panel settings; formalised in panel econometrics literature (Hsiao, 2003)	Balestra & Nerlove (1966); Mundlak (1978); Hausman (1978)
نوع	Time-series model applied to panel data	Panel regression framework
منبع بنیادین	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528
نام‌های دیگر	Panel ARIMA, ARIMA for panel data, cross-sectional ARIMA, multi-unit ARIMA	longitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysis
مرتبط	5	5
خلاصه	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.	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.