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"Panel Data" as a book category groups works that focus on longitudinal, time‑series cross‑section (panel) datasets and the theory, methods, and applications used to analyze them. It includes textbooks and reference monographs on panel econometrics (fixed and random effects, dynamic panels, GMM, causal inference), practical how‑to guides and software tutorials (R, Stata, Python), applied research volumes that exploit large panel studies across individuals, firms, or countries, and curated collections or data handbooks documenting major panel surveys. These books are aimed at researchers, advanced students, and practitioners in economics, sociology, political science, epidemiology and data science who study dynamics, heterogeneity, policy impacts, and forecasting over time, and they typically combine methodological exposition with case studies, replication code, and data management advice.

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