TY - BOOK ID - 14307469 TI - Applied Panel Data Analysis for Economic and Social Surveys AU - Andreß, Hans-Jürgen. AU - Golsch, Katrin. AU - Schmidt, Alexander W. PY - 2013 SN - 3642329136 3642329144 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Econometrics. KW - Panel analysis. KW - Social sciences -- Research -- Statistical methods. KW - Panel analysis KW - Econometrics KW - Mathematics KW - Social Sciences KW - Physical Sciences & Mathematics KW - Social Sciences - General KW - Mathematical Statistics KW - Panel studies KW - Statistics. KW - Social sciences. KW - Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. KW - Methodology of the Social Sciences. KW - Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. KW - Behavioral sciences KW - Human sciences KW - Sciences, Social KW - Social science KW - Social studies KW - Civilization KW - Economics, Mathematical KW - Statistics KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Social sciences KW - Statistics for Social Sciences, Humanities, Law. KW - Methodology. KW - Statistics . UR - https://www.unicat.be/uniCat?func=search&query=sysid:14307469 AB - 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. ER -