Demographers, epidemiologists, and social scientists often deal with temporally ordered datasets, that is, population or sample survey data in the form of observations or measurements on individuals or groups/populations of individuals that are repeated or ordered along a time dimension. In this context, a long-standing analytic problem is the conceptualization, estimation, and interpretation of the differential contributions of three time-related changes to the phenomena of interest, namely, the effects of differences in the ages of the individuals at the time of observation on an outcome of interest, termed age (A) effects; the effects of differences in the time periods of observation or measurement of the outcome, termed ...

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