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This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.
AA / International- internationaal --- 305.971 --- Speciale gevallen in econometrische modelbouw. --- Longitudinal method. --- Panel analysis. --- Social sciences --- Mathematical models. --- Research --- Statistical methods. --- Longitudinal method --- Panel analysis --- Statistical methods --- Mathematical models --- -Longitudinal method --- -Social sciences --- -#SBIB:303H520 --- Panel studies --- Longitudinal research --- Longitudinal studies --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- -Statistical methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- #SBIB:303H520 --- Statistics --- Methodology --- Civilization --- Research&delete& --- Quantitative methods in social research --- Mathematical statistics --- Speciale gevallen in econometrische modelbouw --- Social sciences. --- Statistics - General --- Social Sciences --- HA 29 Theory and method of social science statistics - General works --- Mathematical Sciences --- Probability --- Social sciences - Research - Statistical methods --- Social sciences - Mathematical models --- Social sciences - Statistical methods
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Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.
Econometrics. --- Panel analysis. --- Social sciences -- Research -- Statistical methods. --- Panel analysis --- Econometrics --- Mathematics --- Social Sciences --- Physical Sciences & Mathematics --- Social Sciences - General --- Mathematical Statistics --- Panel studies --- Statistics. --- Social sciences. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Methodology of the Social Sciences. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Economics, Mathematical --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Social sciences --- Statistics for Social Sciences, Humanities, Law. --- Methodology. --- Statistics .
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