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Longitudinal and panel data : analysis and applications in the social sciences
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ISBN: 0521828287 0521535387 9780521828284 9780511790928 9780521535380 9780511211690 0511211694 0511215274 9780511215278 0511217064 9780511217067 0511790929 1280540508 9781280540509 0511213468 9780511213465 9786610540501 6610540500 0511211694 1107147549 9781107147546 0511315694 9780511315695 Year: 2004 Publisher: Cambridge : Cambridge University Press,

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Abstract

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.


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Applied Panel Data Analysis for Economic and Social Surveys
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ISBN: 3642329136 3642329144 Year: 2013 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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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.

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