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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