Сравнение методов

	Многомерные панельные исследования	Панельное исследование
Область	Дизайн исследования	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline
Год появления	1960s–1980s (econometrics); broader social-science uptake 1990s–2000s	1970s-1980s (econometric formalization); earlier social survey use from 1940s
Автор метода	Econometric tradition; formalized by Cheng Hsiao and Badi Baltagi	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s
Тип	Quantitative panel research design	Quantitative longitudinal observational design
Основополагающий источник	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
Другие названия	multivariate panel data analysis, panel data multivariate modeling, multi-outcome panel study, longitudinal multivariate panel design	panel study, panel survey, longitudinal panel, repeated-measures panel
Связанные	5	3
Сводка	Multivariate panel research combines the repeated-measurement structure of panel data — the same subjects observed at multiple time points — with the simultaneous analysis of two or more outcome or predictor variables. By modeling joint trajectories across units and time, it controls for unobserved individual heterogeneity while capturing the interplay among variables, making it one of the most powerful non-experimental designs available for causal and predictive inference in the social, behavioral, and economic sciences.	Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.