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.
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. T
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.
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. T
Familie und Erwerbstätigkeit miteinander zu vereinbaren, ist für Mütter in Deutschland noch immer schwierig. Dies zeigt sich insbesondere beim Wiedereinstieg in den Arbeitsmarkt. Dieser variiert zum einen sehr stark mit dem Bildungsniveau, zum anderen spielen gesetzliche Regelungen zu Erziehungszeiten eine entscheidende Rolle. Zudem unterbrechen Frauen in Westdeutschland ihre Erwerbstätigkeit länger als Frauen in Ostdeutschland - auch 20 Jahre nach der Wiedervereinigung. Dies scheint indes weniger der unterschiedlichen Sozialisation geschuldet als unterschiedlichen institutionellen Regelungen. Schließlich hängt der Wiedereinstieg von Müttern nach einer familienbedingten Erwerbsunterbrechung auch von den Charakteristika der angebotenen Stellen ab. Hier zeigt sich: Neben der Entlohnung spielen auch nicht-monetäre Eigenschaften der Arbeitsstelle eine wichtige Rolle - insbesondere solche, die Einfluss auf das individuelle Zeitbudget haben.
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