Cohort Analysis in Social Research: Beyond the Identification ProblemW.M. Mason, S. Fienberg The existence of the present volume can be traced to methodological concerns about cohort analysis, all of which were evident throughout most of the social sciences by the late 1970s. For some social scientists, they became part of a broader discussion concerning the need for new analytical techniques for research based on longitudinal data. In 1976, the Social Science Research Council (SSRC), with funds from the National Institute of Education, established a Committee on the Methodology of Longitudinal Research. (The scholars who comprised this committee are listed at the front of this volume. ) As part of the efforts of this Committee, an interdisciplinary conference on cohort analysis was held in the summer of 1979, in Snowmass, Colorado. Much of the work presented here stems from that conference, the purpose of which was to promote the development of general methodological tools for the study of social change. The conference included five major presentations by (1) William Mason and Herbert Smith, (2) Karl J6reskog and Dag S6rbom, (3) Gregory Markus, (4) John Hobcraft, Jane Menken and Samuel Preston, and (5) Stephen Fienberg and William Mason. The formal presentations were each followed by extensive discussion, which involved as participants: Paul Baltes, William Butz, Philip Converse, Otis Dudley Duncan, David Freedman, William Meredith, John Nesselroade, Daniel Price, Thomas Pullum, Peter Read, Matilda White Riley, Norman Ryder, Warren Sanderson, Warner Schaie, Burton Singer, Nancy Tuma, Harrison White, and Halliman Winsborough. |
Contents
Preface | 1 |
The Cohort as a Concept in the Study of Social Change | 9 |
Specification and Implementation of Age Period | 45 |
Copyright | |
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Common terms and phrases
accounting framework age and cohort age effects age groups age pattern age-period age-period-cohort model age-specific aggregation American APC model APC specifications association assumptions autoregressive Baltes birth cohort Census cohort analysis cohort effects conceptual covariance covariance matrix cross-sectional Davao decline degrees of freedom demographic depend design matrix differentiation discussion dummy variables equation error estimates example experience factors fertility rates Fienberg and Mason Figure Freedman function identification problem individual interpretation Kepler latent variable linear log-linear model logit longitudinal Lung Tuberculosis marital fertility marriage Massachusetts minutes of arc mortality rates natural fertility nutrition observed P-AC panel data paper parameters partisan strength percent foreign-born period and cohort period effects population possible residuals response variable Ryder Sacher sample social change social sciences Sociological stochastic structure substantive suggested survey Table TB mortality theory tuberculosis mortality U.S. Department United values vector