Empirical Bayes Age–Period–Cohort Analysis of Retrospective Incidence Data

We analyse the (age, time)-specific incidence of diabetes based on retrospective data obtained from a prevalent cohort only including survivors to a particular date. From underlying point processes with intensities corresponding to the (age, time)-specific incidence rates the observed point pattern is assumed to be generated by an independent thinning process with parameters (assumed known) depending on population density and survival probability to the sampling date. A Bayesian procedure is carried out for the optimal adjustment and comparison of isotropic and anisotropic smoothing priors for the intensity functions, as well as for the decomposition of the intensity on the (time, age) Lexis diagram into the three factors of age, period and cohort.     

Becoming a Parent and Relationship Satisfaction: A Longitudinal Dyadic Perspective

This study investigated the extent to which women's and men's relationship satisfaction within couples is similarly or differently affected by becoming a parent and the extent to which changes in work hours and hours spent on household labor affect a person's own and his or her spouse's relationship satisfaction across the transition to parenthood. The authors conducted longitudinal dyadic analyses, based on 12 waves of the British Household Panel Study (BHPS). They selected 689 couples who remained together during the period of observation and who were employed, childless, and living with their partner (of which 28% married) at the first moment of observation. The results revealed that relationship satisfaction of both members in a couple changed in tandem. Although work hours and household labor had some effect on people's own and their spouse's relationship satisfaction, these factors did not account for the U‐shaped relationship satisfaction pattern associated with the transition to parenthood.     

On the Compatibility of Islam and Gender Equality

Although the Muslim world is sometimes depicted as a homogeneous civilization lacking democracy and gender equality, Muslim countries show tremendous economic, political and cultural variation. In this paper, this variation is used to gain insight into the determinants of women’s labor market participation (LMP) in the Muslim world. We use data on 45 Muslim countries and apply SEM models to determine effects of modernization, democracy, cultural background, and state Islamization on women’s participation in the formal economy (absolute LMP) and on the share of women in the labor force (relative LMP). Women’s absolute LMP is higher in Muslim countries with higher levels of economic development and in the oil-exporting countries. For women’s relative LMP, practical democracy (the degree to which people actively participate in the system) takes in a key position. It has a strong positive effect on women’s relative LMP and mediates the effects of economic development (positive), formal democratic structures (positive) and state Islamization (negative) on women’s relative LMP. Results indicate that in these countries modernization may lead to empowerment of women by increasing their absolute LMP, but that for attaining gender equality the political opportunity structures is most important.     

Imposing the Regular Ultra Passum law in DEA models

Recently there has been some discussion in the literature concerning the nature of scale properties in the Data Envelopment Model (DEA). It has been argued that DEA may not be able to provide reliable estimates of the optimal scale size. We argue in this paper that DEA is well suited to estimate optimal scale size, if DEA is augmented with two additional maintained hypotheses which imply that the DEA-frontier is consistent with smooth curves along rays in input and in output space that obey the Regular Ultra Passum (RUP) law, i.e. monotonically decreasing scale elasticities. A necessary condition for a smooth curve passing through all vertices to obey the RUP-law is presented. If this condition is satisfied then upper and lower bounds for the marginal product at each vertex are presented. It is shown that any set of feasible marginal products will correspond to a smooth curve passing through all points with a monotonic decreasing scale elasticity. The proof is constructive in the sense that an estimator of the curve is provided with the desired properties. A typical DEA based return to scale analysis simply reports whether or not a DMU is at the optimal scale based on point estimates of scale efficiency. A contribution of this paper is that we provide a method which allows us to determine in what interval optimal scale is located.