A Mechanism-Based Approach to the Identification of Age–Period–Cohort Models
By Christopher Winship, David J. Harding. 2008
130 citations recorded by the source corpus.
This article offers a new approach to the identification of age–period–cohort (APC) models that builds on Pearl's work on nonparametric causal models, in particular his front-door criterion for the identification of causal effects. The goal is to specify the mechanisms through which the age, period, and cohort variables affect the outcome and in doing so identify the model. This approach allows for a broader set of identification strategies than has typically been considered in the literature and, in many circumstances, goodness of fit tests are possible. The authors illustrate the utility of the approach by developing an APC model for political alienation.
Subfields: Demography, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f10d9572f5354e1adf12a549b915638d54b59da9
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In Demography
In Statistics and Probability
Citations in the corpus
- The psychological impact of intragenerational social class mobility (2011, background): “…to mobility during adulthood (see Sorokin, 1959, pp. 508–510).3 However, all of this research and its subsequent conclusions regarding the effects of mobility are limited by the problem of linear dependence (Hendrickx et al., 1993; Hope, 1975; Sobel, 1981, 1985; Winship and Harding, 2008).”
- Block Constraints in Age–Period–Cohort Models with Unequal-width Intervals (2016, unknown): “…this identification problem, including the Constrained Generalized Linear Model (CGLM; Mason et al. 1973), APC Characteristic Models (O’Brien 2000), the Intrinsic Estimator (IE; Fu 2000; Yang, Fu, and Land 2004; Yang et al. 2008), and the Mechanism-based Approach (Winship and Harding 2008).”