Overview
- Easy accessible: introduces into main methods of panel data analysis without expecting specialized mathematical and statistical knowledge
- Replicates research from major social science journals to explain methods
- For all students and researchers using household panel studies like GSOEP, BHPS, or PSID
- Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)
Keywords
About this book
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.
Reviews
“The monograph considers contemporary statistical analysis of panel survey data with repeated in time measurements on identical individuals, households, firms, nations, or other social entities. … The monograph presents an excellent introductory textbook on the panel data … . The book can be very helpful for lecturers, graduate students, and researchers using panel survey methods.” (Stan Lipovetsky, Technometrics, Vol. 59 (1), February, 2017)
“This book is written for applied researchers in the social fields. The level of the book refers to users with some theoretical background in statistics and econometrics, but no sound knowledge is required to read the book.” (Herbert S. Buscher, zbMATH, Vol. 1276, 2014)Authors and Affiliations
About the authors
Hans-Jürgen Andreß a is Full Professor in Empirical Social and Economic Research at the Faculty of Business Administration, Economics and Social Sciences at the University of Cologne. His research interests include statistics and multivariate methods; labor market research; social and family policy.
Katrin Golsch is a senior researcher at the Department of Sociology at Bielefeld University, Germany. Her core interests include statistical methods for the analysis of survey data and longitudinal data analysis in particular, life-course analysis, social structure, labor market research and comparative sociological research.
Alexander Schmidt is a PhD candidate at the Research Training Group SOCLIFE, funded by the Germany Science Foundation. He teaches computer assisted data analysis and survey research at the Chair of Empirical Social and Economic Research at the Faculty of Business Administration, Economics and Social Sciences at the University of Cologne. His research focuses on social mobility and comparative welfare state analysis.
Bibliographic Information
Book Title: Applied Panel Data Analysis for Economic and Social Surveys
Authors: Hans-Jürgen Andreß, Katrin Golsch, Alexander W. Schmidt
DOI: https://doi.org/10.1007/978-3-642-32914-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-32913-5Published: 25 January 2013
Softcover ISBN: 978-3-642-43417-4Published: 01 July 2015
eBook ISBN: 978-3-642-32914-2Published: 24 January 2013
Edition Number: 1
Number of Pages: XV, 327
Topics: Statistics for Social Sciences, Humanities, Law, Methodology of the Social Sciences, Econometrics