השוואת שיטות

	סדרות עתיות מופרעות על נתוני פאנל	מודל האפקטים הקבועים לנתוני פאנל
תחום	הסקה סיבתית	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	2000s–2010s	2014
הוגה השיטה	Shadish, Cook & Campbell (design framework); Bernal, Cummins & Gasparrini (epidemiological tutorial)	Hsiao (textbook treatment); within transformation of panel data
סוג	Quasi-experimental causal inference	Panel data regression
מקור מכונן	Lopez Bernal, J., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
כינויים	panel ITS, multi-unit ITS, panel ITSA, controlled interrupted time series	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
קשורות	5	5
תקציר	Panel Data Interrupted Time Series (panel ITS) is a quasi-experimental method that estimates the causal effect of an intervention using repeated observations from multiple units over time. By exploiting variation across both units and time periods, it provides stronger causal identification than single-unit ITS, detecting changes in the level and slope of the outcome trajectory immediately following a clearly dated intervention.	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).