Stochastic Modelling of Social Processes

Stochastic Modelling of Social Processes

1st Edition - January 28, 1984

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  • Editors: Andreas Diekmann, Peter Mitter
  • eBook ISBN: 9781483266565

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Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the social sciences. This book demonstrates that stochastic models can fulfill the goals of explanation and prediction. Organized into nine chapters, this book begins with an overview of stochastic models that fulfill normative, predictive, and structural–analytic roles with the aid of the theory of probability. This text then examines the study of labor market structures using analysis of job and career mobility, which is one of the approaches taken by sociologists in research on the labor market. Other chapters consider the characteristic trends and patterns from data on divorces. This book discusses as well the two approaches of stochastic modeling of social processes, namely competing risk models and semi-Markov processes. The final chapter deals with the practical application of regression models of survival data. This book is a valuable resource for social scientists and statisticians.

Table of Contents

  • Contributors



    New Aspects of Stochastic Model Building in the Social Sciences

    Multistate Demography and Event History Analysis

    Interpreting Time Dependency in Career Processes

    A Comparison of the "Sickle Function" with Alternative Stochastic Models of Divorce Rates

    Semi-Markov and Competing Risks Models with Applications to Occupational Mobility

    Stochastic Models for Market Structures

    Markovian Transition Rates Models of Macro Social Change

    Analysis of Event Histories with Generalized Linear Models

    Survival Analysis in Heterogeneous Populations—Statistical Models and Concepts

    Author Index

    Subject Index

Product details

  • No. of pages: 352
  • Language: English
  • Copyright: © Academic Press 1984
  • Published: January 28, 1984
  • Imprint: Academic Press
  • eBook ISBN: 9781483266565

About the Editors

Andreas Diekmann

Peter Mitter

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