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In many different fields, social scientists desire to understand temporal variation associated with age, time period, and cohort membership. Among methods proposed to address the identification problem in age-period-cohort analysis, the intrinsic estimator (IE) is reputed to impose few assumptions and to yield good estimates of the independent effects of(More)
In this article, we discuss a study by Masters et al. (2014), published in Demography. Masters and associates estimated age, period, and cohort (APC) effects on U.S. mortality rates between 1959 and 2009 using the intrinsic estimator (IE). We first argue that before applying the IE, a grounded theoretical justification is needed for its fundamental(More)
Data on age-sequenced trajectories of individuals' attributes are used for a growing number of research purposes. However, there is no consensus about which method to use to identify the number of discrete trajectories in a population or to assign individuals to a specific trajectory group. We modeled real and simulated trajectory data using "naïve"(More)
I appreciate the opportunity to respond to the thoughtful comments by Yang and Land (henceforth Y&L), O’Brien, Held and Riebler (henceforth H&R), and Fienberg. In this response, I will (1) elaborate on the limitations of the age-period-cohort (APC) accounting model, (2) clarify apparent misunderstandings about the intrinsic estimator (IE), and (3) outline a(More)
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