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.

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.

Die vorliegende Festschrift wurdigt die wissenschaftliche Karriere von Hans-Jurgen Andress, wahrend der er die Methodenentwicklung im Bereich langsschnittlicher Analysemethoden gepragt 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 langsschnittlicher analytischer Designs verschiedene Formen sozialer Ungleichheit in Deutschland untersuchen. In unterschiedlichen thematischen Feldern erarbeiten die Beitrage Erklarungen fur Ungleichheitspositionen und untersuchen insbesondere deren Einbettung in den Lebensverlauf. Neben ihrem konkreten empirischen Forschungsbeitrag demonstrieren die Studien damit gleichzeitig die analytischen Potentiale langsschnittlicher Designs und der vorhandenen langsschnittlichen Dateninfrastruktur in Deutschland. Die Herausgeber Prof. Dr. Marco Giesselmann ist Juniorprofessor an der Universitat Bielefeld und Mitarbeiter des DIW Berlin.Prof. Dr. Katrin Golsch ist Professorin fur Quantitative Methoden der empirischen Sozialforschung und Sozialstrukturanalyse am Institut fur Sozialwissenschaften der Universitat Osnabruck.Prof. Dr. Henning Lohmann ist Professur fur Soziologie am Fachbereich Sozialoekonomie der Universitat Hamburg.Dr. Alexander Schmidt-Catran ist akademischer Rat am Institut fur Soziologie und Sozialpsychologie (ISS) an der Universitat zu Koeln.

This book investigates the impact of labour market insecurity on the work and family life of men and women within the diverse contexts of Germany, Great Britain, and Spain. The aim is to describe country-specific trends in life course decisions, to discuss the changes in the degree of social protection in an era of globalisation, and to develop a theoretical framework for enhancing our understanding of when individuals make life course decisions. Using longitudinal data from national panel surveys, the book analyses the impact of labour market insecurity on labour market entry and early career, partnership and parenthood decisions, as well as work and family life of adult workers. This analysis sheds light on the complex interdependence of macro-level changes that impact national labour markets; certain risk profiles - couples with country of residence, gender, career maturity, and individual resources -, and life course decision-making.