“Reactive Ethnicity” or “Assimilation”? Statements,Arguments, and First Empirical Evidence for Labor Migrants in Germany

In this article, we scrutinize the often stated assumption that labor migrants in Germany turn away from integration and reaffirm their ethnicity by examining their identificational, cognitive, and social assimilation processes. Using data from the German Socio‐economic Panel, we present trend analyses of different hostland‐ and homeland‐related indicators for the past fifteen years. Results are presented separately for first‐ and second‐generation migrants from Turkey, the EU, and the former Yugoslavia. While not all assimilation‐related indicators change a great deal over time, they show at least a substantial difference between the first and the second generation. With regard to the homeland‐related indicators, the results by no means suggest that Turkish migrants try to compensate for their comparatively disadvantaged social status by revitalizing ethnic cultural habits or homeland‐oriented identifications.     

The Effects of Environmental Regulations on the Productivity of Large Companies: An Empirical Analysis of the Spanish Case

This article provides evidence to the debateabout whether or not investments designated forcompliance with environmental performance andtechnology standards favor or harm the workproductivity of companies. A panel data modelis analyzed, which panel refers to 53 largeSpanish companies quoted on the stock exchangeand that have participated in a subsidizedenvironmental protection program during the1990–1995 period, specifically in theIndustrial and Technological Program for theEnvironment (PITMA). A Cobb-Douglas productionfunction is used to relate the workproductivity to a measure of the pollutionabatement investment dedicated to compliancewith standards. The resulting negativecoefficient, although close to zero, should notbe interpreted as a result derived from justany kind of regulation, but rather a result ofthe kind of regulation analyzed in this work,meaning the command and control regulation thatoften binds companies to make environmentalinvestments that are not productive in theconventional economic sense, although they areproductive in terms of environmental quality.In addition, and in order to specify the kindof company to which the conclusions of thispaper are applicable, the characteristics ofthe companies that participated in PITMA areanalyzed comparatively with companies that didnot participate.     

Identifiability and estimation of recursive max‐linear models

We address the identifiability and estimation of recursive max‐linear structural equation models represented by an edge‐weighted directed acyclic graph (DAG). Such models are generally unidentifiable and we identify the whole class of DAG s and edge weights corresponding to a given observational distribution. For estimation, standard likelihood theory cannot be applied because the corresponding families of distributions are not dominated. Given the underlying DAG, we present an estimator for the class of edge weights and show that it can be considered a generalized maximum likelihood estimator. In addition, we develop a simple method for identifying the structure of the DAG. With probability tending to one at an exponential rate with the number of observations, this method correctly identifies the class of DAGs and, similarly, exactly identifies the possible edge weights.     

Bayesian model selection for D‐vine pair‐copula constructions

In recent years analyses of dependence structures using copulas have become more popular than the standard correlation analysis. Starting from Aas et al. ( 2009 ) regular vine pair‐copula constructions (PCCs) are considered the most flexible class of multivariate copulas. PCCs are involved objects but (conditional) independence present in data can simplify and reduce them significantly. In this paper the authors detect (conditional) independence in a particular vine PCC model based on bivariate t copulas by deriving and implementing a reversible jump Markov chain Monte Carlo algorithm. However, the methodology is general and can be extended to any regular vine PCC and to all known bivariate copula families. The proposed approach considers model selection and estimation problems for PCCs simultaneously. The effectiveness of the developed algorithm is shown in simulations and its usefulness is illustrated in two real data applications. The Canadian Journal of Statistics 39: 239–258; 2011 © 2011 Statistical Society of Canada     

Centralized inventory in a farming community

A centralized inventory problem is a situation in which several agents face individual inventory problems and make an agreement to coordinate their orders with the objective of reducing costs. In this paper we identify a centralized inventory problem arising in a farming community in northwestern Spain, model the problem using two alternative approaches, find the optimal inventory policies for both models, and propose allocation rules for sharing the optimal costs in this context.     

Influencing support of charitable objectives in the near and distant future: delay discounting and the moderating influence of construal level

Two studies investigated the delay discounting effect in charitable giving situations, and whether construal level moderates this effect. In both studies, construal level was manipulated by inducing a concrete vs. an abstract mindset. Participants were asked how much time (Experiment 1) or how much money (Experiment 2) they would be willing to volunteer or donate, respectively, to a self-chosen charitable organization in either the near or distant future. Participants committed themselves to contributing more time and money in the distant than in the near future. Additionally, an abstract (vs. concrete) mindset reduced this delay discounting effect, particularly for monetary donations. Delay discounting of costs associated with altruistic behavior and the role of construal level in increasing donations and volunteering are discussed.     

Mother–infant Interaction Quality and Infants' Ability to Encode Actions as Goal‐directed

The current study investigated the relationship between mother–child interaction quality and infants' ability to interpret actions as goal‐directed at 7 months in a sample of 37 dyads. Interaction quality was assessed in a free play interaction using two distinct methods: one assessed the overall affective quality (emotional availability), and one focused on the mother's proclivity to treat her infant as an intentional agent (mind‐mindedness). Furthermore, infants' ability to interpret human actions as goal‐directed was assessed. Analyses revealed that only maternal emotional availability, and not maternal mind‐mindedness, was related to infants' goal‐encoding ability. This link remained stable even when controlling for child temperament, working memory, and maternal education. These findings provide first evidence that emotionally available caregiving promotes social‐cognitive development in preverbal infants.     

Employment Quality: Are There Differences by Types of Contract?

Measuring welfare state generosity in developing and transitional welfare states is often challenged not only by lack of comparative quantitative data, but also by issues of conceptual stretching. This paper demonstrates and discusses the use of one of the key measures of welfare entitlement generosity developed in the comparative welfare state research in the context of post-communist countries of Central and Eastern Europe (CEE). With the new time series data provided by the Comparative Welfare Entitlements Dataset CWED2, comparative approaches including the CEE countries have become feasible. This paper first discusses quantitative measures of welfare entitlement generosity in the tradition of the social rights of citizenship approach and how they can be applied for cross-country comparisons. It then demonstrates empirically how the emerging CEE welfare states’ generosity compares to mature “old” OECD welfare states. Finally, the paper shows the potential and the pitfalls of quantitative measures of welfare state generosity by discussing, to what extent do indicators of social security scheme generosity measure the same in established and emerging welfare states, which functional equivalents may be relevant in the context of emerging welfare states and how far can we stretch our theoretical concepts.     

Confronting collinearity in environmental regression models: evidence from world data

Statistical Methods & Applications - Despite the evidence, the correlation between environmental impact factors has mostly been neglected in econometric environmental models or treated with...