Firing Restrictions,Government Growth,Immigration, and the NAIRU: Evidence from Fifteen OECD Countries

Using a Phillips‐type equation and annual aggregate data from 15 Organization for Economic Cooperation and Development (OECD) countries, we estimate the effects of the following policies on the ‘non‐accelerating inflation rate of unemployment’ (NAIRU): restrictions on firing, growth in government ‘productive’ expenditure, growth in social security benefits, and lax immigration policy. We consider Greece separately, but treat the other 14 countries as a fixed‐effects panel. Two effects seem to be robust to changes in the sample: restrictions on firing and growth in social security benefits raise the NAIRU.     

RANKINGS OF ACADEMIC JOURNALS AND INSTITUTIONS IN ECONOMICS

We conducted a worldwide ranking of academic institutions that produce research in a list of thirty top research journals in economics. We also computed journal rankings for the same period and hence we do not rely on weights that were computed for research carried out in earlier periods. The United States is clearly the dominant force in the top‐fifty group, but European academic institutions are well represented in the group of the top 200 universities worldwide as are universities from Asia and the Far East in particular. (JEL: A14, A10)     

Technological affluence and subjective well-being

This study measures the welfare effects of technological goods using a recent European pooled cross-sectional dataset. We find that fixed and mobile phones, music players and personal computers, including those with an Internet connection, are associated with significantly higher levels of well-being measured by individual self-reported life satisfaction. Further controlling for mobile and broadband country penetration levels, we provide evidence suggesting that the latter matters for life satisfaction, especially for the users who already possess the relevant devices. Keeping life satisfaction constant, we subsequently derive substantial GDP per capita estimates equivalent to a 10 percentage point increase in broadband and mobile phone penetration.     

Optimal design of supply chain networks under uncertain transient demand variations

We consider a detailed mathematical formulation for the problem of designing supply chain networks comprising multiproduct production facilities with shared production resources, warehouses, distribution centers and customer zones and operating under time varying demand uncertainty. Uncertainty is captured in terms of a number of likely scenarios possible to materialize during the lifetime of the network. The problem is formulated as a mixed-integer linear programming problem and solved to global optimality using standard branch-and-bound techniques. A case study concerned with the establishment of Europe-wide supply chain is used to illustrate the applicability and efficiency of the proposed approach. The results obtained provide a good indication of the value of having a model that takes into account the complex interactions that exist in such networks and the effect of inventory levels to the design and operation.     

Discriminating membrane proteins using the joint distribution of length sums of success and failure runs

Discriminating integral membrane proteins from water-soluble ones, has been over the past decades an important goal for computational molecular biology. A major drawback of methods appeared in the literature, is that most of the authors tried to solve the problem using machine learning techniques. Specifically, most of the proposed methods require an appropriate dataset for training, and consequently the results depend heavily on the suitability of the dataset, itself. Motivated by these facts, in this paper we develop a formal discrimination procedure that is based on appropriate theoretical observations on the sequence of hydrophobic and polar residues along the protein sequence and on the exact distribution of a two dimensional runs-related statistic defined on the same sequence. Specifically, for setting up our discrimination procedure, we study thoroughly the exact distribution of a bivariate random variable, which accumulates the exact lengths of both success and failure runs of at least a specific length in a sequence of Bernoulli trials. To investigate the properties of this bivariate random variable, we use the Markov chain embedding technique. Finally, we apply the new procedure to a well-defined dataset of proteins.     

It Attacked My Change: An Exploratory Study with Young Adults on the Impact of Divorce and Their Adjustment Processes During Adolescence

Semistructured interviews were conducted with 2 female students, 21 and 24 years old. The participants experienced parental divorce during early adolescence (12 years old). This research examined the participants’ own views on the impact of parental divorce and their adjustment processes. The majority of participants’ narratives indicated that they had experienced negative effects of parental divorce. Results suggested that their adjustment was a long process in which mothers, peers, and psychologists had an important role in their coping process. Divorce and associated events were found to have a direct impact on participants’ development of identity, emotions, intimate relationships, father–child relationships, and views about forming their own families. The results were discussed in relation to the previous literature. Additionally, areas for psychotherapeutic emphasis are presented.     

Hybrid methods for calculating optimal few-stage sequential strategies: Data monitoring for a clinical trial

Optimal batch-sequential designs are difficult to compute, even when sufficient statistics and relatively uncomplicated loss functions simplify the calculations required. While backward induction applies, its difficulty grows exponentially in the number of stages, while a recently developed forward algorithm grows only linearly, but involves a maximization over a rather flat surface. This paper explores a hybrid algorithm, partially backward induction, partially forward, that has some of the advantages of each.     

The effect of aging on pacing strategies of cross-country skiers and the role of performance level

Background

The participation of master cross-country (XC) skiers in training and competition has increased during the last decades; however, little is known yet about whether these athletes differ from their younger counterparts in aspects of performance such as pacing. Therefore, the aim of the present study was to examine the combined effect of age and performance (race time) on pacing in cross-country (XC) skiing. We analyzed all finishers (n?=?79,722) in ‘Vasaloppet’ from 2012 to 2017, the largest cross-country skiing race in the world, classified according to their race time into 10 groups: 3-4 h, 4-5 h, ..., 12-13 h.

Results

A trivial main effect of sex on total pace range was observed (p?<?0.001, η²?=?0.002), where women (44.1?±?10.2%) had larger total pace range than men (40.9?±?11.8%). A large main effect of performance group on total pace range was shown (p?<?0.001, η²?=?0.160), where the smallest total pace range was 21.8?±?1.9% (3-4 h group) and the largest 50.1?±?9.9% (10-11 h group). A trivial sex×performance group interaction on total pace range was found (p?<?0.001, η²?=?0.001) with the largest sex difference in pacing shown in 9-10 h group. A trivial and small main effect of age was found in women (p?<?0.001, η²?=?0.005) and men (p?<?0.001, η²?=?0.011), respectively, where the masters had smaller total pace range than their younger counterparts. A trivial age group×performance group interaction on total pace range was observed in both women (p?<?0.001, η²?=?0.008) and men (p?<?0.001, η²?=?0.006) with smaller differences among age groups in the faster performance groups.

Conclusions

In summary, master XC skiers adopted a relatively even pacing independently from their race time and the differences in pacing from the younger XC skiers were more pronounced in the slower masters. These findings suggest that exercise attenuates the decline of performance in master XC skiers as shown by the similar pacing strategies between fast master XC skiers and their younger counterparts.