TRADE-INDUCED SKILL POLARIZATION

We study how wage gaps across skills and the skill distribution in an economy respond to trade integration. Using administrative data of Denmark (1995–2011), we find that trade has a negative effect on the wage gap between secondary and primary education and a positive effect on the wage gap between tertiary and secondary education. We also show that trade affects skill distribution and induces skill polarization: trade has a positive effect on both the mean and standard deviation of skills. Wage-gap changes induced by trade shocks explain about 21%–30% of the effect of trade on skills.     

Cultural diversity and school equality: Intercultural education in Spain from a European perspective

Formerly a country of emigrants, Spain has now become a receptor of immigrants from other countries. In spite of the great diversity that existed in our country's past, reflection, legislation and educational concern pertaining to cultural pluralism developed only after this phenomenon. In this paper we examine the adoption of the intercultural perspective in education in Spain, and the relationship between policy and practice. We first discuss the theoretical framework that we use. Second, we look at European policies in this area and finally we describe how cultural diversity is dealt with in Spain, both from a legislative and a practical point of view.     

The unheard and forgotten warriors of pandemic in India

ABSTRACT

This narrative tells the story of two groups: Aanganwadi Group and the Nigrani Group. The former consists of women working under the ICDS (Integrated Child Development Scheme), a flagship program of the Government of India. The latter consists of local youth. The groups’ efforts, during the COVID-19 pandemic, are to ensure food security to migrants and other marginalized people. Despite the high risk of them becoming infected with the coronavirus, the Aanganwadi Group and Nigrani Group are working against all the odds. They are risking their lives to save lives, during the total lockdown in India. My story highlights the value of coordinated efforts between groups to optimize relief efforts for migrant workers during this unprecedented time of forced, sudden lockdown.     

Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City

ABSTRACT

New York City faces the challenge of an ever-increasing homeless population with almost 60,000 people currently living in city shelters. In 2015, approximately 25% of families stayed longer than nine months in a shelter, and 17% of families with children that exited a homeless shelter returned to the shelter system within 30 days of leaving. This suggests that “long-term” shelter residents and those that re-enter shelters contribute significantly to the rise of the homeless population living in city shelters and indicate systemic challenges to finding adequate permanent housing. This article focuses on our preliminary work with Win (Women-in-Need) shelters to understand the factors that predict readmission and length-of-stay of homeless families. We create a unified, comprehensive database of the homeless population being served by Win shelters, accounting for more than 6,000 homeless families. We apply logistic regression models and an unsupervised clustering algorithm to identify predictors of re-entry and long-term length-of-stay. Citizenship, age, medical conditions, employment, and history of foster care or shelter stays as a child are found to be significant predictors. The results of the K-means clustering identify three primary groups, consistent with previous typologies characterized by transitionally homeless, episodically homeless, and chronically homeless.     

Best linear unbiased estimation of location and scale parameters of the log-logistic distribution

If an assumption, such as homoscedasticity, or some other aspect of an inference problem, such as the number of cases, is altered, our conclusions may change and different parts of the conclusions can be affected in different ways. Most diagnostic procedures measure the influence on one particular aspect of the conclusion - such as model fit or change in parameter estimates. The effect on all aspects of the conclusions can be described by the difference in two log likelihood functions and when the log likelihood functions come from an exponential family or are quasi-likelihoods, this difference can be factored into three terms: one depending only on the alteration, another depending only on the aspects of the conclusions to be considered, and a third term depending on both. The third term is interesting because it shows which aspects of the conclusions are relatively insensitive even to large alterations.     

The Role of Religion and Stress in Sexual Identity and Mental Health Among Lesbian,Gay, and Bisexual Youth

This study investigated religious stress, gay‐related stress, sexual identity, and mental health outcomes in lesbian, gay, and bisexual (LGB) adolescents and emerging adults. The model examined negative LGB identity as a mediator of the relationships between (1) religious stress and mental health, and (2) gay‐related stress and mental health. The data indicated that negative LGB identity fully accounted for both relationships. Findings suggest that a negative sense of sexual identity for LGB youth helps explain the links between religious and gay‐related stressors and mental health. As LGB youth may have limited control over these stressors, the importance of helping LGB youth maintain a positive LGB identity, despite homonegative messages from others, is discussed.     

Computational procedures for deriving sampling distributions of attribute-contaminated random variables

Statistical distributions generated from any J- or U-shaped random variables are cumbersome to derive if not completely indefinable and thus are unavailable analytically because of the singularities at the tails of the basic random variable. This paper presents a computational method for providing a numerical convolution derived from a basic U-shaped random variable composed of a continuous part mixed with (or contaminated by) a discrete part at the tails. The J-shaped sampling distribution case is implied as a special case. Though the computations are based on a background Normal Distribution, it can be generalized on any other distribution.Such distributions will open up an area of sampling distributions of mixed random variables that are not elaborately covered in textbooks dealing with the theory of distributions.     

On generalized exponential transformations for proportions

ABSTRACT

Transformation of the response is a popular method to meet the usual assumptions of statistical methods based on linear models such as ANOVA and t-test. In this paper, we introduce new families of transformations for proportions or percentage data. Most of the transformations for proportions require 0 < x < 1 (where x denotes the proportion), which is often not the case in real data. The proposed families of transformations allow x = 0 and x = 1. We study the properties of the proposed transformations, as well as the performance in achieving normality and homoscedasticity. We analyze three real data sets to empirically show how the new transformation performs in meeting the usual assumptions. A simulation study is also performed to study the behavior of new families of transformations.     

哈密方言的“呢”

哈密方言的“呢”可以在疑问句中做疑问语气词,也可以表示不同的时态,还可以在陈述句中起成句、强调、夸张等作用.