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From Euclidean distances to APC models

Author

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  • Gustavo De Santis

    (University of Florence)

  • Massimo Mucciardi

    (University of Messina)

Abstract

In this paper we show that a recently developed method for the study of “cultural” differences, called DBS-EM, or Distance Between Strata estimated with the EM (Expectation Maximization) algorithm, can also be used to circumvent the difficulties posed by APC (or Age, Period, Cohort) models. The DBS-EM method produces an original measure of the distance (dependent variable) between any two subsets of observations (strata) within a sample, where the stratification variables can be interpreted as regressors. When these stratification variables are age, period, and cohort, what results is an APC model which, however, proves immune to the “intrinsic collinearity problem” (C = P−A). With a few limitations, to be sure, which are discussed in the article. In our application to Italian data over the years 1993–2013, age and cohort strongly shape cultural consumption, while cohort and period impact, but only up to a point, on political participation.

Suggested Citation

  • Gustavo De Santis & Massimo Mucciardi, 2017. "From Euclidean distances to APC models," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 829-846, March.
    • Handle: RePEc:spr:qualqt:v:51:y:2017:i:2:d:10.1007_s11135-016-0442-y
    DOI: 10.1007/s11135-016-0442-y
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    References listed on IDEAS

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    1. Reither, Eric N. & Masters, Ryan K. & Yang, Yang Claire & Powers, Daniel A. & Zheng, Hui & Land, Kenneth C., 2015. "Should age-period-cohort studies return to the methodologies of the 1970s?," Social Science & Medicine, Elsevier, vol. 128(C), pages 356-365.
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    Cited by:

    1. Gustavo De Santis & Mauro Maltagliati & Alessandra Petrucci, 2021. "So Close, So Far. The Cultural Distance of Foreigners in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 81-106, November.

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