2006/08/01 by Yang Yang, Kenneth C. Land · 1 citation
Decision Sciences · Mathematics · Medicine · Psychology · Social Sciences · #Cohort #Cohort effect #Cross-sectional data #Demography #Econometrics #Insurance, Mortality, Demography, Risk Management #Mathematics #Medicine #Meta-analysis #Multilevel model #Period (music) #Psychology #Random effects model #Sample (material) #Sociology #Statistics #Test (biology) #Urban, Neighborhood, and Segregation Studies #demographic modeling and climate adaptation
paper · doi:10.1111/j.1467-9531.2006.00175.x
crossref issued 2006/08/01 · crossref published 2006/08/01 · crossref published-online 2006/08/01 · crossref published-print 2006/08/01 · openalex publication_date 2006/08/01 · crossref created 2006/11/09 · openalex created_date 2025/10/10 · crossref deposited 2026/05/01 · openalex updated_date 2026/07/31 · crossref indexed 2026/07/31
We develop a mixed (fixed and random effects) models approach to the age-period-cohort (AFC) analysis of micro data sets in the form of a series of the repeated cross-section sample surveys that are increasingly available to sociologists. This approach recognizes the multilevel structure of the individual-level responses. As a substantive illustration, we apply our proposed methodology to data on verbal test scores from 15 cross-sections of the General Social Survey, 1974–2000. These data have been the subject of recent debates in the sociological literature. We show how our approach can be used to shed new light on these debates by identifying and estimating age, period, and cohort components of change.