Henning Lohmann

Katrin Golsch

Marco Giesselmann

Alexander Schmidt-Catran

Die vorliegende Festschrift würdigt die wissenschaftliche Karriere von Hans-Jürgen Andreß, während der er die Methodenentwicklung im Bereich längsschnittlicher Analysemethoden geprägt und einflussreiche empirische Studien zu Armut, Ungleichheit und den Folgen kritischer Lebensereignisse vorgelegt hat. Der Band vereint nun diese Aspekte und versammelt empirische Studien, welche auf Basis längsschnittlicher analytischer Designs verschiedene Formen sozialer Ungleichheit in Deutschland untersuchen. In unterschiedlichen thematischen Feldern erarbeiten die Beiträge Erklärungen für Ungleichheitspositionen und untersuchen insbesondere deren Einbettung in den Lebensverlauf. Neben ihrem konkreten empirischen Forschungsbeitrag demonstrieren die Studien damit gleichzeitig die analytischen Potentiale längsschnittlicher Designs und der vorhandenen längsschnittlichen Dateninfrastruktur in Deutschland. /div Die Herausgeber Prof. Dr. Marco Giesselmann ist Juniorprofessor an der Universität Bielefeld und Mitarbeiter des DIW Berlin.Prof. Dr. Katrin Golsch ist Professorin für Quantitative Methoden der empirischen Sozialforschung und Sozialstrukturanalyse am Institut für Sozialwissenschaften der Universität Osnabrück.Prof. Dr. Henning Lohmann ist Professur für Soziologie am Fachbereich Sozialökonomie der Universität Hamburg.Dr. Alexander Schmidt-Catran ist akademischer Rat am Institut für Soziologie und Sozialpsychologie (ISS) an der Universität zu Köln. /div

Lebensbedingungen in Deutschland in der Längsschnittperspektive

Hans-Jürgen Andreß

Alexander W. Schmidt

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. ​

Applied Panel Data Analysis for Economic and Social Surveys

Hans-Peter Blossfeld

Gotz Rohwer

Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data, to data organization, to applications using the software, to the interpretation of results. The book also demonstrates, through example, how to implement hypotheses tests and how to choose the right model. The strengths and limitations of various techniques are emphasized in each example, along with an introduction to the model, details on how to input data, and the related Stata commands. Each application is accompanied by a brief explanation of the underlying statistical concept. Readers are offered the unique opportunity to easily run and modify all of the book’s application examples on a computer, by visiting the author’s Web site at http://www.uni-bamberg.de/sowi/soziologie-i/eha/. Examples include survival rates of patients in medical studies; unemployment periods in economic studies; and the time it takes a criminal to break the law after his release in a criminological study. This new book supplements Event History Analysis, by Blossfeld et al, and Techniques of Event History Modeling, by Blossfeld and Rohwer, extending on their coverage of practical applications and statistical theory. Intended for researchers in a variety of fields such as statistics, economics, psychology, sociology, and political science, Event History Analysis With Stata also serves as a text, in combination with the authors’ other two books, for courses on event history analysis.

Katrin Golsch

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