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Informationen zum Autor Steven E. Finkel is the Daniel Wallace Professor of political science at the University of Pittsburgh. His areas of expertise include comparative political behavior, democratization, public opinion, and quantitative methods. He is the author of Causal Analysis With Panel Data (SAGE, 1995) as well as numerous articles on political participation, voting behavior, and civic education in new and established democracies. He holds a PhD in political science from the State University of New York at Stony Brook and has taught previously at the University of Virginia, Arizona State University, the Hertie School of Governance (Berlin), the University of Gothenburg (Sweden), and the University of Copenhagen (Denmark). His work has been supported by the National Science Foundation, the National Endowment for Democracy, the Deutscher Akademischer Austauschdienst (DAAD), and the United States Agency for International Development. Klappentext Panel data - information gathered from the same individuals or units at several different points in time - are commonly used in the social sciences to test theories of individual and social change. This book highlights the developments in this technique in a range of disciplines and analytic traditions. Providing an overview of models appropriate for the analysis of panel data, the book focuses specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Finkel demonstrates how panel data offer multiple ways of strengthening the causal inference process. He also explores how to estimate models that contain a variety of lag specifications, reciprocal effects and imperfectly measured variables. Zusammenfassung Panel data — information gathered from the same individuals or units at several different points in time — are commonly used in the social sciences to test theories of individual and social change. This book highlights the developments in this technique in a range of disciplines and analytic traditions. Inhaltsverzeichnis Introduction Modeling Change with Panel Data Models with Reciprocal Causation Measurement Error Models Models of Spurious Association Concluding Note on Causal Inference in Panel Analysis ...
