Sectoral Shocks and Structural Unemployment

When current employers rave more information about worker quality than to potential employers, sectoral shocks cause structural unemployment. That is, some workers laid off from an injured sector remain unemployed despite the fact that trey are of sufficient quality to be productively employed in an expanding sector at toe prevailing wage, Moreover, sectoral unemployment rates are not monotonic in one severity of sectoral shocks due to one interaction of layoff activity and hiring activity. Finally, equilibrium employment decisions are not constrained Pareto efficient, and can be improved by a policy of adjustment assistance.

Prices, Wages and the U.S. NAIRU in the 1990s

Using quarterly macro data and annual state panel data, we examine various explanations of the low rate of price inflation, strong real wage growth, and low rate of unemployment in the U.S. economy during the late 1990s. Many of these explanations imply shifts in the coefficients of price and wage Phillips curves. We find, however, that once one accounts for the univariate trends in the unemployment rate and in the rate of productivity growth, these coefficients are stable. This suggests that many explanations, such as persistent beneficial supply shocks, changes in firms' pricing power, changes in price expectations arising from shifts in Fed policy, and changes in wage setting behavior miss the mark. Rather, we suggest that explanations of movements of wages, prices and unemployment over the 1990s, and indeed over the past forty years, must focus on understanding the univariate trends in the unemployment rate and in productivity growth and, perhaps, the relation between the two.

How Precise are Estimates of the Natural Rate of Unemployment?

This paper investigates the precision of conventional and unconventional estimates of the natural rate of unemployment (the 'NAIRU'). The main finding is that the NAIRU is imprecisely estimated: a typical 95% confidence interval for the NAIRU in 1990 is 5.1% to 7.7%. This imprecision obtains whether the natural rate is modeled as a constant, as a slowly changing function of time, as an unobserved random walk, or as a function of various labor market fundamentals; it obtains using other series for unemployment and inflation, including additional supply shift variables in the Phillips curve, using monthly or quarterly data, and using various measures for expected inflation. This imprecision suggests caution in using the NAIRU to guide monetary policy.

The relationship between corpus callosum size and forebrain volume

Using high-resolution in vivo magnetic resonance morphometry we measured forebrain volume (FBV), midsagittal size of the corpus callosum (CC) and four CC subareas in 120 young and healthy adults (49 women, 71 men). We found moderate linear and quadratic correlations, indicating that the CC and all CC subareas increase with FBV both in men and women (multiple r2 ranging from 0.10 to 0.28). Allometric equations revealed that these increases were less than proportional to FBV (r2 ranging from 0.02 to 0.30). Absolute CC measurements, as well as CC subareas relative to total CC or FBV (the latter measures termed the CC ratios), were further analyzed with regard to possible effects of handedness, gender, or handedness by gender interaction. Contrary to previous reports, left-handers did not show larger CC measurements compared to right-handers. The only apparent influence of gender was on the CC ratios, which were larger in women. However, smaller brains had larger CC ratios which were mainly independent of gender, a result of the less than proportional increase of callosal size with FBV. We suggest that the previously described gender differences in CC anatomy may be better explained by an underlying effect of brain size, with larger brains having relatively smaller callosa. This lends empirical support to the hypothesis that brain size may be an important factor influencing interhemispheric connectivity and lateralizatio

Improving family functioning and child outcome in methadone maintained families: the parents under pressure programme

t Societal responses to the existence of substance misuse fluctuate between harm minimisation and prohibition. Both approaches are predominantly downstream reactions to substance misuse that focus on the supply of harmful substances and the containment of misuse through treatment, rehabilitation or punishment. Until recently, little attention has been paid to the upstream individual, family, relationship, community or societal antecedents of substance misuse (which often overlap with those for other adverse life outcomes, such as unemployment, antisocial personality disorder and mental health problems) that have operated during earlier life. A growing body of evidence highlights the overlapping biological and experiential antecedents for substance abuse and other poor outcomes as well as the trajectory-changing protective factors that can prevent risks being translated into destiny. Risk minimisation and protection enhancement embedded in family and social systems are the essential building blocks of a set of early intervention strategies that begin antenatally and continue through the developing years of childhood, adolescence and young adult life, that have been shown to be effective in improving many outcomes in development, health and well-being. Much remains to be done to enable the promise of effective universal and targeted early intervention to be translated into policies, programs and practices that could be life-changing for citizens bogged in the mire of substance misuse and their children. Realistic, timely investment, influenced by the best scientific evidence indicating what works, for whom, under what circumstances, an increased degree of collaboration within and between governments and their agencies to enable "whole of government" responses in partnership with community-based initiatives are essential along with investments in multidisciplinary program evaluation research that will enable evidence-informed policy decisions to be tailored to the needs of individual countries. [Vimpani G. Getting the mix right: family, community and social policy interventions to improve outcomes for young people at risk of substance misuse.Griffith Health, School of Applied PsychologyNo Full Tex

Topologies Refining the Cantor Topology on X ω

International audienceThe space of one-sided infinite words plays a crucial rôle in several parts of Theoretical Computer Science. Usually, it is convenient to regard this space as a metric space, the Cantor-space. It turned out that for several purposes topologies other than the one of the Cantor-space are useful, e.g. for studying fragments of first-order logic over infinite words or for a topological characterisation of random infinite words. It is shown that both of these topologies refine the topology of the Cantor-space. Moreover, from common features of these topologies we extract properties which characterise a large class of topologies. It turns out that, for this general class of topologies, the corresponding closure and interior operators respect the shift operations and also, to some respect, the definability of sets of infinite words by finite automata

Enter exitrons

Staiger D, Simpson GG. Enter exitrons. Genome Biology. 2015;16(1): 136.Exitrons are exon-like introns located within protein-coding exons. Removal or retention of exitrons through alternative splicing increases proteome complexity and thus adds to phenotypic diversity

Instrumental Variables Regression with Weak Instruments

... The theory suggests concrete guidelines for applied work, including using nonstandard methods for construction of confidence regions. These results are used to interpret Angrist and Krueger's (1991) estimates of the returns to education: whereas TSLS estimates with many instruments approach the OLS estimate of 6%, the more reliable LIML estimates with fewer instruments fall between 8% and 10%, with a typical 95% confidence interval of (5%,15%)

Glycemia Determines the Effect of Type 2 Diabetes Risk Genes on Insulin Secretion

OBJECTIVE—Several single nucleotide polymorphisms (SNPs) in diabetes risk genes reduce glucose- and/or incretin-induced insulin secretion. Here, we investigated interactions between glycemia and such diabetes risk polymorphisms. RESEARCH DESIGN AND METHODS—Insulin secretion was assessed by insulinogenic index and areas under the curve of C-peptide/glucose in 1,576 subjects using an oral glucose toler-ance test (OGTT). Participants were genotyped for 10 diabetes risk SNPs associated with -cell dysfunction: rs5215 (KCNJ11), rs13266634 (SLC30A8), rs7754840 (CDKAL1), rs10811661 (CDKN2A/2B), rs10830963 (MTNR1B), rs7903146 (TCF7L2), rs10010131 (WFS1), rs7923837 (HHEX), rs151290 (KCNQ1), an