This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 529
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Social Statistics Section
Abstract - #306551
Title: Intersecting Variance Function Regression and Hierarchical Age-Period-Cohort Analysis, with Applications to the Study of Self-Reported Health
Author(s): Kenneth C. Land*+ and Hui Zheng
Companies: Duke University and Duke University
Address: DEPT OF SOCIOLOGY- BOX 90088, DURHAM, NC, 27708-0088, USA
Keywords: Variance Function Analysis ; Hierarchical Age, Period, Cohort Analysis ; Health Status

Two long-standing research problems of research interest are the sources of variations in social inequalities and the differential contributions of the temporal dimensions of age, time period, and cohort to variations in social phenomena. To study these problems, this paper presents a two-step algorithm for integrating Variance Function Regression, which simultaneously models both the mean and variance of an outcome variable as functions of covariates, with Hierarchical Age-Period-Cohort Analysis, for application to a series of repeated cross-section sample surveys. The integrated model then is applied to repeated cross-section sample survey data on subjective health status.

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