APC models, which try to detect the influence on social behaviour of age, period and cohort, while intellectually stimulating, suffer from the intrinsic collinearity problem (period-age=birth cohort), which has greatly limited their use. However, in line with a recent approach to the study of cultural distances (known as DBS-EM, or Distance Between Strata estimated with the Expectation Maximization algorithm) differences in terms of age, period and cohort can be treated as distances, i.e., as absolute values. This eliminates their collinearity and, albeit with a few limitations, permits researchers to introduce all the three (APC) as predictors in regression models. An example on Italian cultural data (1993-2013) is provided.

A (partial) solution to the intractability of APC models

DE SANTIS, Gustavo;MUCCIARDI, Massimo
2016

Abstract

APC models, which try to detect the influence on social behaviour of age, period and cohort, while intellectually stimulating, suffer from the intrinsic collinearity problem (period-age=birth cohort), which has greatly limited their use. However, in line with a recent approach to the study of cultural distances (known as DBS-EM, or Distance Between Strata estimated with the Expectation Maximization algorithm) differences in terms of age, period and cohort can be treated as distances, i.e., as absolute values. This eliminates their collinearity and, albeit with a few limitations, permits researchers to introduce all the three (APC) as predictors in regression models. An example on Italian cultural data (1993-2013) is provided.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3086426
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