In-Work Poverty and Self-Rated Health in a Cohort of Working Germans: A Hybrid Approach for Decomposing Within-Person and Between-Persons Estimates of In-Work Poverty Status.

In this study, we investigated whether self-rated health (SRH) can be predicted by in-work poverty and how between-persons and within-person differences in the poverty status of people who are working contribute to this relationship. We used a logistic random-effects model designed to test within-person and between-persons differences with data from a nationally representative German sample with 19 waves of data collection (1995-2013) to estimate effects of between-persons and within-person differences in working poverty status on poor SRH. Interactions by age and sex were tested, and models controlled for sociodemographic, socioeconomic, and work-related characteristics. We found significant differences in SRH between individuals with different working poverty status but no evidence that within-person differences in working poverty status are associated with poor SRH. The association between in-work poverty and SRH was significantly stronger for women but did not differ significantly by age. All findings were robust when including sociodemographic, socioeconomic, and working characteristics. In this sample of German adults, we found a polarization of poor SRH between the working nonpoor and the working poor but no causal association of within-person differences in working poverty status with SRH.

The Intrinsic Estimator, Alternative Estimates, and Predictions of Mortality Trends: A Comment on Masters, Hummer, Powers, Beck, Lin, and Finch.

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 constraint on minimum variance of the estimates. We next demonstrate IE's high sensitivity to the type of dummy parameterization used to obtain the estimates. Finally, we discuss challenges in the interpretation of APC models. Our comments are not restricted to the article in question but pertain generally to any research that uses the IE.

The Non-uniqueness Property of the Intrinsic Estimator in APC Models.

This article explores an important property of the intrinsic estimator that has received no attention in literature: the age, period, and cohort estimates of the intrinsic estimator are not unique but vary with the parameterization and reference categories chosen for these variables. We give a formal proof of the non-uniqueness property for effect coding and dummy variable coding. Using data on female mortality in the United States over the years 1960-1999, we show that the variation in the results obtained for different parameterizations and reference categories is substantial and leads to contradictory conclusions. We conclude that the non-uniqueness property is a new argument for not routinely applying the intrinsic estimator.