A tow-stage procedure for testing homogeneity of means against ordered alternatives in analysis of variance with unequal variances

In this paper we present a two-stage sampling procedure for testing the equality of normal means against ordered alternatives in one-way analysis of variance with unequal unknown variances. A table of approximated percentiles needed for implementation is provided. Some Monte Carlo results for estimating the power of the proposed test statistic are presented.     

The labour share of income: heterogeneous causes for parallel movements?

The distribution of factor incomes from a macroeconomic perspective is an increasingly popular research topic—be it for its implications for the personal income distribution or the apparent mistake in previous research declaring it to be constant over time. The labour share has been decreasing across OECD countries since the 1980s, sparking a renewed interest in what is behind this trend. The aim of this paper is to take a systematic approach to estimating the coefficients of factors explaining these movements across countries. In particular, we focus on proper dynamic model specification and test the validity of the homogeneity assumption of slope coefficients frequently implied in previous studies. We employ fixed effect estimators as well as pooled mean group and mean group estimators, the latter in a dynamic heterogeneous panel framework. We find support for a dynamic estimation setup and derive statements regarding the homogeneity assumption with respect to the three most prominent explanatory variables in the literature: the capital-output ratio, total factor productivity and trade openness. We find the first two variables to decrease the labour share, to be better captured by dynamic estimators and to be better identified in more recent time periods. With regard to trade, we see it depressing the labour share since 1980 only. We furthermore provide evidence on increased cross-country homogeneity over time for all of the analysed driving forces of the labour share.     

#Funeral and Instagram: death,social media,and platform vernacular

This paper presents findings from a study of Instagram use and funerary practices that analysed photographs shared on public profiles tagged with ‘#funeral’. We found that the majority of images uploaded with the hashtag #funeral often communicated a person's emotional circumstances and affective context, and allowed them to reposition their funeral experience amongst wider networks of acquaintances, friends, and family. We argue that photo-sharing through Instagram echoes broader shifts in commemorative and memorialization practices, moving away from formal and institutionalized rituals to informal and personalized, vernacular practices. Finally, we consider how Instagram's ‘platform vernacular’ unfolds in relation to traditions and contexts of death, mourning, and memorialization. This research contributes to a broader understanding of how platform vernaculars are shaped through the logics of architecture and use. This research also directly contributes to the understanding of death and digital media by examining how social media is being mobilized in relation to death, the differences that different media platforms make, and the ways social media are increasingly entwined with the places, events, and rituals of mourning.     

Spillover effects of maternal education on child’s health and health behavior

This study investigates the effects of maternal education on child’s health and health behavior. We draw on a rich German panel data set containing information about three generations. This allows instrumenting maternal education by the number of her siblings while conditioning on grandparental characteristics. The instrumental variables approach has not yet been used in the intergenerational context and works for the sample sizes of common household panels. We find substantial effects on health behavior for adolescent daughters, but neither for adolescent sons nor for the health status of newborns. We show that possible concerns for the validity of the instrument are unlikely to compromise these results. We discuss mother’s health behavior, assortative mating, household income, and child’s schooling track as possible channels of the estimated effects. Maternal education seems to affect daughter’s smoking behavior through the higher likelihood of the daughter pursuing a higher secondary schooling track.     

Renegotiating health care. Interview by Richard L. Reece

Richard L. Reece, MD, interviewed Leonard Marcus, PhD, on May 21, 1999, to talk about his book, Renegotiating Healthcare, Resolving Conflict to Build Collaboration, and the Program for Healthcare Negotiation and Conflict Resolution he directs at the Harvard School of Public Health. Dr. Marcus discusses conflict management and negotiation in an industry besieged by change . He says, "we are, in effect, renegotiating the very assumptions and premises that have guided the health care system over the last few decades." In such a turbulent environment, it is crucial that all stakeholders can move to higher ground and resolve their differences instead of escalating the war. The key, Marcus says, is providing options through interest-based negotiation and mediation, so that the parties can look at the bigger picture and reconnect with what they are all committed to accomplishing in health care. While conflict can be destructive, it also can provide opportunities for people to look at where there are problems, to identify and correct those problems, and achieve something even better than what they began with through the process.     

A Simulated Annealing Approach to Communication Network Design

This paper explores the use of the meta-heuristic search algorithm Simulated Annealing for solving a minimum cost network synthesis problem. This problem is a common one in the design of telecommunication networks. The formulation we use models a number of practical problems with hop-limit, degree and capacity constraints. Emphasis is placed on a new approach that uses a knapsack polytope to select amongst a number of pre-computed traffic routes in order to synthesise the network. The advantage of this approach is that a subset of the best routes can be used instead of the whole set, thereby making the process of designing large networks practicable. Using simulated annealing, we solve moderately large networks (up to 30 nodes) efficiently.