Applying the rescaling bootstrap under imputation: a simulation study

Resampling methods are a common measure to estimate the variance of a statistic of interest when data consist of nonresponse and imputation is used as compensation. Applying resampling methods usually means that subsamples are drawn from the original sample and that variance estimates are computed based on point estimators of several subsamples. However, newer resampling methods such as the rescaling bootstrap of Chipperfield and Preston [Efficient bootstrap for business surveys. Surv Methodol. 2007;33:167–172] include all elements of the original sample in the computation of its point estimator. Thus, procedures to consider imputation in resampling methods cannot be applied in the ordinary way. For such methods, modifications are necessary. This paper presents an approach applying newer resampling methods for imputed data. The Monte Carlo simulation study conducted in the paper shows that the proposed approach leads to reliable variance estimates in contrast to other modifications.     

Foreign trade barriers and jobs in global supply chains

This article uses ILO global supply chain job estimates to study the impact on domestic jobs of foreign barriers to trade in goods and services. Empirical analysis largely confirms predictions derived from a theoretical model calibrated to WIOD data for 2000 and 2011. Barriers to trade in manufacturing and services are both found to have a cross‐border impact on jobs in their own sector and spill‐over effects in other sectors, the latter becoming stronger over time. This article shows the labour market consequences of the increased interconnectedness of countries and sectors through global supply chains, which suggests that trade policy can have significant external effects on foreign labour markets.     

The Efficacy of Emotionally Focused Couples Therapy and Behavioral Couples Therapy: A Meta‐Analysis

Behavioral couple therapy (BCT) and emotionally focused couples therapy (EFCT) are well‐established treatments to reduce couple distress. This meta‐analysis summarizes the current state of knowledge on the efficacy of these two therapy methods by focusing on randomized controlled trials only. A literature search revealed 33 suitable primary studies (2,730 participants in total), all of them measuring relationship satisfaction. Robust‐variance random‐effects meta‐analysis revealed medium effect sizes at post‐test (overall: g = 0.60; BCT: g = 0.53; EFCT: g = 0.73) and small effect sizes of 6 months after treatment (overall: g = 0.44; BCT: g = 0.35; EFCT: g = 0.66), but these gains were not maintained after 12 months (BCT only: g = 0.06). Between the two therapy methods, no significant effect size differences could be found. Results have to be interpreted with caution due to potential publication bias.     

Perceptions of Caucasian users about avian resources and beach restoration following hurricane <Emphasis Type="Italic">Sandy</Emphasis>

Hurricane Sandy resulted in massive destruction of many coastal ecological and human communities in the Northeastern United States in 2012. Beach-nesting and migrating birds are vulnerable to loss of essential habitat as a result of storms. In this paper we report the perceptions of beach users about avian use of the beaches, conservation measures to protect birds, and recent restoration efforts at Stone Harbor Point (New Jersey) to provide beach habitat for birds. Nearly all the visitors to the beach were Caucasian (N = 555), and reported their activity as walking (93 %), birding (19 %), biking (7 %), and lounging, boating, fishing or photographing (5 % or less for each). Visitors mainly came to this beach because of aesthetics, exercise, and vacation or to visit friends. Subjects rated protecting endangered species and the environment, restoring the beach, and designating off-limit areas to protect birds the highest. They rated conservation measures for birds the highest, and allowing dogs on the beach and providing more opportunities for jogging the lowest. The results suggest that protecting endangered species and habitat for nesting birds is a slightly higher goal than restoring dunes and marshes for flood control, which provides evidence for public support of restoration projects that protect both ecological and human communities. Providing more space for their own recreational activities was rated much lower, again supporting community good over personal uses. This information supports the restoration efforts following Sandy, and the importance of restoration projects that integrate ecological and human health goals in urban environments.     

Energy transition on the rise: discourses on energy future in the German parliament

In this paper we describe energy policy discourses and their story-lines in German parliamentary debates, and trace their evolution over the past decades. Through content analysis and coding with MAXQDA, changes in the discourses and in the use of story-lines by different political parties are analyzed. Our study shows that while the concept of a transition towards a nuclear-free, renewables-based energy system became hegemonic within three decades, the discourse itself underwent major changes. Energy Transition was de-radicalized and became part of a discourse of Ecological Modernization, thus aligning with mainstream economic logic. There are still considerable differences in the story-lines narrated by parliamentarians about pathways to Energy Transition and its effects. Discursive struggles into the meaning and the means of the transition project continue, suggesting that discourse structuration is far from complete.     

Random projections for Bayesian regression

This article deals with random projections applied as a data reduction technique for Bayesian regression analysis. We show sufficient conditions under which the entire d-dimensional distribution is approximately preserved under random projections by reducing the number of data points from n to \(k\in O({\text {poly}}(d/\varepsilon ))\) in the case \(n\gg d\). Under mild assumptions, we prove that evaluating a Gaussian likelihood function based on the projected data instead of the original data yields a \((1+O(\varepsilon ))\)-approximation in terms of the \(\ell _2\) Wasserstein distance. Our main result shows that the posterior distribution of Bayesian linear regression is approximated up to a small error depending on only an \(\varepsilon \)-fraction of its defining parameters. This holds when using arbitrary Gaussian priors or the degenerate case of uniform distributions over \(\mathbb {R}^d\) for \(\beta \). Our empirical evaluations involve different simulated settings of Bayesian linear regression. Our experiments underline that the proposed method is able to recover the regression model up to small error while considerably reducing the total running time.     

Toward a Differentiated Understanding of the Value‐Creation Chain

The conventional view of the value‐creation chain suggests offering high‐value propositions at the product level (in terms of benefits provided by elements of the product) to attain high‐value perceptions at the customer level, which should ultimately result in high‐value appropriation at the firm level (i.e. relationship, volume, pricing and financial success). This study challenges this view and provides a differentiated understanding of the value‐creation chain. With a multi‐industry sample of 339 companies and a sample of 626 customers to validate managerial assessments, the authors apply a configurational approach to identify whether and to what extent offering high‐value propositions at the product level is necessary or sufficient for achieving superior value perceptions at the customer level and high‐value appropriation at the firm level. Taking into account the company‐internal and company‐external environment of the value‐creation chain, the study identifies seven value‐creation chain constellations.     

What Aspects of Society Matter for the Quality of Life of a Minority? Global Evidence from the New Gay Happiness Index

There is great variation in views on and treatment of minorities such as gay men across the world. We are the first to pinpoint what features of societies are beneficial to gay men’s quality of life by using a unique new cross-country dataset covering 110 countries, the Gay Happiness Index. It covers how gays perceive public opinion about them, how they experience behavior towards them and how satisfied they are with their lives. Our study is based on the premise that it is important to look at minority-specific effects of policies and institutions and not solely at the effects for the average citizen, as well as the transmission mechanisms through which policies and institutions affect life satisfaction. We find that factors such as equal legal rights for gay people, GDP per capita, democracy and globalization relate positively to the quality of life of gay men, primarily by shaping public opinion and behavior in a pro-gay direction. Religion (the shares of Muslims and Orthodox Christians) and living in a post-communist country tend to relate negatively to our quality of life indicators. Most of these factors have been shown to matter for the well-being of people in general as well, which may be taken to suggest that gay people benefit from being included in society—legally, socially and economically—on the same terms as others.