Partnersuche im Internet

The aim of this study is to analyze the role of educational qualification in the process of partner choice in “digital marriage markets”. Using unique interaction data of individuals participating in an online dating site, we are able to reconstruct early processes of partner choices of men and women. Our results show that there is a clear tendency towards educational homophily. Individuals therefore have a strong preference for partners with the same educational level. This is particularly true for women. Our results also support the exchange theoretical hypothesis that educational homophily is stronger the higher the level of education is. If we analyze heterophile contact behavior, it is obvious that women are still reluctant to contact men with lower educational degrees. They clearly prefer men with higher educational qualification. For men it is still quite usual to contact women with lower educational degrees. Our findings therefore underline that partner choice today is still dominated by quite traditional gender preferences. Overall, our results show that digital marriage markets do not reduce social distances between social groups. Rather, the high level of homophily seems to close relationships between social groups.     

Optimal global rates of convergence for nonparametric regression with unbounded data

Estimation of regression functions from independent and identically distributed data is considered. The _L2$L_2$ error with integration with respect to the design measure is used as an error criterion. Usually in the analysis of the rate of convergence of estimates a boundedness assumption on the explanatory variable X$X$ is made besides smoothness assumptions on the regression function and moment conditions on the response variable Y$Y$. In this article we consider the kernel estimate and show that by replacing the boundedness assumption on X$X$ by a proper moment condition the same (optimal) rate of convergence can be shown as for bounded data. This answers Question 1 in Stone [1982. Optimal global rates of convergence for nonparametric regression. Ann. Statist., 10, 1040–1053].     

Choice of link and variance function for generalized linear mixed models: a case study with binomial response in proteomics

Abstract

Non-normality is a common phenomenon in data from agricultural and biological research, especially in molecular data (for example; -omics, RNAseq, flow cytometric data, etc.). For over half a century, the leading paradigm called for using analysis of variance (ANOVA) after applying a data transformation. The introduction of generalized linear mixed models (GLMM) provides a new way of analyzing non-normal data. Selecting an apt link function in GLMM can be quite influential, however, and is as critical as selecting an appropriate transformation for ANOVA. In this paper, we assess the performance of different parametric link families available in literature. Then, we propose a new estimation method for selecting an appropriate link function with a suitable variance function in a quasi-likelihood framework. We apply these methods to a proteomics data set, showing that GLMMs provide a very flexible framework for analyzing these kinds of data.     

Low Fertility,Socioeconomic Development,and Gender Equity

While new empirical findings and theoretical frameworks provide insight into the interrelations between socioeconomic development, gender equity, and low fertility, puzzling exceptions and outliers in these findings call for a more all‐encompassing framework to understand the interplay between these processes. We argue that the pace and onset of development are two important factors to be considered when analyzing gender equity and fertility. Within the developed world, “first‐wave developers”—or countries that began socioeconomic development in the nineteenth/early twentieth century—currently have much higher fertility levels than “late developers.” We lay out a novel theoretical approach to explain why this is the case and provide empirical evidence to support our argument. Our approach not only explains historical periods of low fertility but also sheds light on why there exists such large variance in fertility rates among today's developed countries.     

Weakly universally consistent static forecasting of stationary and ergodic time series via local averaging and least squares estimates

Given a stationary and ergodic time series the problem of estimating the conditional expectation of the dependent variable at time zero given the infinite past is considered. It is shown that the mean squared error of a combination of suitably defined local averaging or least squares estimates converges to zero for all distributions whenever the dependent variable is square integrable.     

Enttraditionalisierung und Traditionalisierung der Arbeitsteilung im Haushalt. Beide Seiten sind wichtig

With this contribution we reply to the constructive feedback of Johannes Kopp. In doing so, we clarify that our paper “How does the division of labor change in the course of marriage” (KZfSS 58 (1), 2006) was the theoretical starting point for further longitudinal analyses of the division of housework. In a second study, though, we already conducted the analyses requested by Kopp.