Bimodality based on the generalized skew-normal distribution

This paper focuses on the development of a new extension of the generalized skew-normal distribution introduced in Gómez et al. [Generalized skew-normal models: properties and inference. Statistics. 2006;40(6):495–505]. To produce the generalization a new parameter is introduced, the signal of which has the flexibility of yielding unimodal as well as bimodal distributions. We study its properties, derive a stochastic representation and state some expressions that facilitate moments derivation. Maximum likelihood is implemented via the EM algorithm which is based on the stochastic representation derived. We show that the Fisher information matrix is singular and discuss ways of getting round this problem. An illustration using real data reveals that the model can capture well special data features such as bimodality and asymmetry.     

The Development and Initial Validation of a Psychoanalysis Use/Non-Use Scale among a Sample of Hong Kong Helping Professionals.

ABSTRACT

This article reports on the construction and initial validation of the Psychoanalysis Use/Non-Use scale (PUNU) and the complementary Conflicts with Hong Kong Chinese Culture scale (CHKCC), developed for assessing the penetration of psychoanalysis among counseling professionals in Hong Kong. A total of 217 Hong Kong social workers, psychologists, and counselors were surveyed to assess the scales' internal psychometric properties. Factor analysis confirmed a four-factor structure for the PUNU, and a unidimensional structure for the CHKCC, with 17 and 9 items, respectively. Internal reliability of both scales was good and discriminative validity was supported by comparisons with background information. These scales could help to identify factors that affect the understanding of psychoanalysis among professionals and could be useful for educational purposes.     

The Virtual Image Technology,Media, and Construction of the Visual Reality

We are experiencing a passage from the mostly representational function of images (the traditional media of photography, cinematography, television) to constructed images made with new technologies, especially computer graphics and virtual reality. We are left with images as formal abstractions, that make us think of a mediation of cognitive/ experiential models of reality, rather than a simple representative reproduction. With virtual reality the image presents itself more and more as reality, stressing its constructional statute. The image is no longer a map that orients the mental ways, but a real territory to explore.     

RETHINKING THE EFFECT OF IMMIGRATION ON WAGES

This paper calculates the effects of immigration on the wages of native US workers of various skill levels in two steps. In the first step we use labor demand functions to estimate the elasticity of substitution across different groups of workers. Second, we use the underlying production structure and the estimated elasticities to calculate the total wage effects of immigration in the long run. We emphasize that a production function framework is needed to combine own‐group effects with cross‐group effects in order to obtain the total wage effects for each native group. In order to obtain a parsimonious representation of elasticities that can be estimated with available data, we adopt alternative nested‐CES models and let the data select the preferred specification. New to this paper is the estimate of the substitutability between natives and immigrants of similar education and experience levels. In the data‐preferred model, there is a small but significant degree of imperfect substitutability between natives and immigrants which, when combined with the other estimated elasticities, implies that in the period from 1990 to 2006 immigration had a small effect on the wages of native workers with no high school degree (between 0.6% and +1.7%). It also had a small positive effect on average native wages (+0.6%) and a substantial negative effect (−6.7%) on wages of previous immigrants in the long run.     

IMMIGRATION,JOBS, AND EMPLOYMENT PROTECTION: EVIDENCE FROM EUROPE BEFORE AND DURING THE GREAT RECESSION

In this paper we analyze the impact of immigrants on the type and quantity of native jobs. We use data on 15 Western European countries during the 1996–2010 period. We find that immigrants, by taking manual‐routine type of occupations pushed natives towards more “complex” (abstract and communication) jobs. This job upgrade was associated to a 0.7% increase in native wages for a doubling of the immigrants' share. These results are robust to the use of an IV strategy based on past settlement of immigrants across European countries. The job upgrade slowed but did not come to a halt during the Great Recession. We also document the labor market flows behind it: the complexity of jobs offered to new native hires was higher relative to the complexity of lost jobs. Finally, we find evidence that such reallocation was larger in countries with more flexible labor laws.     

DO TRANSFER TAXES REDUCE INTERGENERATIONAL TRANSFERS?

We estimate the effect of taxes on intergenerational transfers by exploiting a sequence of Italian reforms culminating with the abolishment of transfer taxes. We use the Surveys of Household Income and Wealth from 1993 to 2006, which have data on real estate transfers, and information on potential donors and recipients. Difference‐in‐differences estimates indicate that the abolition of transfer taxes increases the probability of high‐wealth donors making a transfer by two percentage points and increases the area transferred by 9.3 square meters relative to poorer donors.     

On Bayesian learning from Bernoulli observations

We provide a reason for Bayesian updating, in the Bernoulli case, even when it is assumed that observations are independent and identically distributed with a fixed but unknown parameter _θ0${\theta }_0$. The motivation relies on the use of loss functions and asymptotics. Such a justification is important due to the recent interest and focus on Bayesian consistency which indeed assumes that the observations are independent and identically distributed rather than being conditionally independent with joint distribution depending on the choice of prior.     

Bayesian design in queues: An application to aeronautic maintenance

We exploit Bayesian criteria for designing M/M/c//r$M/M/c//r$ queueing systems with spares. For illustration of our approach we use a real problem from aeronautic maintenance, where the numbers of repair crews and spare planes must be sufficiently large to meet the necessary operational capacity. Bayesian guarantees for this to happen can be given using predictive or posterior distributions.     

Telecommunication and suicide prevention: hopes and challenges for the new century

Development of information technology has created new opportunities and challenges in suicide prevention, research, and clinical practice. This article presents an overview of the wide range of telecommunication-based suicide prevention approaches. Interventions using the Internet, telephone, and videoconferencing are discussed, including crisis intervention, referral, and support, suicide risk assessment, psychotherapy for individuals at risk, and online-based suicide prevention training and education. Research regarding effectiveness of telecommunication-based suicide prevention in various demographic and clinical populations is reviewed, as well as concerns regarding this type of intervention. Future areas of research and development in the use of telecommunication media in prevention of suicide are discussed.