An F Approximation to the Distribution of a Linear Combination of Chi-squared Variables.

A three-parameter F approximation to the distribution of a positive linear combination of central chi-squared variables is described. It is about as easy to implement as the Satterthwaite-Welsh and Hall-Buckley-Eagleson approximations. Some reassuring properties of the F approximation are derived, and numerical results are presented. The numerical results indicate that the new approximation is superior to the Satterthwaite approximation and, for some purposes, better than the Hall-Buckley-Eagleson approximation. It is not quite as good as the Gamma-Weibull approximation due to Solomon and Stephens, but is easier to implement because iterative methods are not required.     

Contrasting the Gini and Zenga indices of economic inequality

The current financial turbulence in Europe inspires and perhaps requires researchers to rethink how to measure incomes, wealth, and other parameters of interest to policy-makers and others. The noticeable increase in disparities between less and more fortunate individuals suggests that measures based upon comparing the incomes of less fortunate with the mean of the entire population may not be adequate. The classical Gini and related indices of economic inequality, however, are based exactly on such comparisons. It is because of this reason that in this paper we explore and contrast the classical Gini index with a new Zenga index, the latter being based on comparisons of the means of less and more fortunate sub-populations, irrespectively of the threshold that might be used to delineate the two sub-populations. The empirical part of the paper is based on the 2001 wave of the European Community Household Panel data set provided by EuroStat. Even though sample sizes appear to be large, we supplement the estimated Gini and Zenga indices with measures of variability in the form of normal, t-bootstrap, and bootstrap bias-corrected and accelerated confidence intervals.     

Ethnic‐Controlled Economy or Segregation? Exploring Inequality in Latina/o Co‐Ethnic Jobsites1

Recent research has increasingly focused on how ethnicity operates within labor markets. Due to perceptions of intragroup homogeneity and assumptions that inequality only occurs between majority whites and people of color, most research has neglected intragroup economic inequality. This study examines how skin color, immigration/nativity status, and gender influence wage differentials in Latina/o co‐ethnic jobsites (where workers are the same ethnicity). Using data from the Los Angeles Study of Urban Inequality (LASUI), it is found that there are skin color, immigration/nativity status, and sex wage gaps among Latina/os working in co‐ethnic jobsites. Moreover, illustrating intersectionality, immigrant women and dark‐skinned immigrants suffer from wage gaps in co‐ethnic jobsites. Unexpectedly, some Latinas experience a wage advantage, in comparison with Latinos, which is associated with lighter skin. The author suggests that Latinas are subjected to multiple‐jeopardy situations in which they experience an intersection of inequalities in jobsites saturated by co‐ethnics but that lightness of skin color functions as a form of social capital. Thus, research on the benefits or costs associated with working with co‐ethnics cannot be extended to the entire ethnic group. The conclusion is that for Central Americans and Mexicans, co‐ethnic jobsites are generally forms of segregated employment with limited protection from discrimination.     

Eastern Sociological Society Presidential Address: Globalizing Gender Issues: Many Voices,Different Choices1

Why are the important gender inequality issues different in various countries around the world? This question is answered using a comparative perspective on extant research about gender inequalities in the regions of the world. Just as there is diversity among individual women, based on their intersecting axes of age, race, ethnicity, class, marital status, sexual orientation, religion, or other characteristics, I argue that there is diversity across countries in their gender inequalities based on intersecting axes of transnational, regional, cross‐cutting, and unique national issues that structure gendered or feminist concerns within any country. Global and regional dynamics are the interrelated foundations on which broad gender inequalities are built. Major transnational dynamics include neoliberal economics, migration, and violence, while regional patterns include nation building and gendered inequalities in education and property ownership. On the other hand, unique national trajectories and cross‐cutting themes, found in a few nations in each region, add much greater variation to those basic inequalities. Some of those cross‐cutting themes are problems generated by health status and health services, the relationship of religion to the state, and war or militarism.     

Queer-friendly nation? The experience of Chinese gay immigrants in Canada

In the past decade, the People’s Republic of China has become the leading source country of immigrants to Canada. However, little is known about the experience of Chinese gay immigrants in Canada. Using narratives collected through a qualitative study, we show the way in which Chinese gay men construct their experience of immigration in Canada. Unlike the national discourse that claims Canada is a friendly nation for members of the LGBTTQ community, the experiences of Chinese gay immigration present a different story. As racialised gay men, they continue to be subjected to social violence in Canada – albeit differently from what they experienced in China. The analysis demonstrates the complexity of social marginalisation experienced by these men, the understanding of which is essential for social workers to engage in practice with them that is socially transformative.     

Informatization, voter turnout and income inequality

In recent years, voter turnout has been decreasing in most industrial countries, and about 40% of all electors abstain from voting. This may affect income inequality and the GDP growth rate through a redistribution policy determined by majority voting. In this paper, we explore the reasons for this continuing decrease in voter turnout and assess its social costs. We conclude that informatization lowers voter turnout by generating an information overload, and that a decrease in voter turnout lowers GDP growth by limiting income redistribution.      

Workplace racial composition, perceived discrimination, and organizational attachment

Prior research has devoted considerable attention to the relationship between the racial and ethnic composition of jobs and various indicators of organizational attachment. Fewer studies, however, examine how workplace racial composition affects individuals’ experiences of racial discrimination or how these experiences impact workers’ organizational attachment. To address this lacuna, we first examine the effects of workplace racial composition on perceived racial and ethnic discrimination. Next, we examine whether perceived racial discrimination mediates the association between racial composition and organizational attachment observed in prior studies. Finally, we explore whether these relationships are similar (symmetric) or different (non-symmetric) for non-Whites and Whites. The analyses indicate: (1) working with predominately same-race coworkers tends to diminish perceptions of racial discrimination, (2) perceived racial discrimination mediates some of the effects of racial/ethnic composition on organizational attachment, and (3) some non-symmetric effects between non-Whites and Whites are found. We conclude with implications for future research.     

A Sample Size Formula for a Non-Central t Test

An elementary method of proof of the mode, median, and mean inequality is given for skewed, unimodal distributions of continuous random variables. A proof of the inequality for the gamma, F, and beta random variables is sketched.     

Correlation Coefficient Revisited

Elementary approaches to prove basic properties of the correlation coefficient are of pedagogical interest. Besides posing another proof, this article gives variations of the proofs already existing in the statistical literature     

Random coefficients regression models. a review 1

A review is given of random regression coefficients models. The emphasis is put on the problem of estimating the mean regression coefficients and the covariance matrix of the coefficients. Prediction of the individual random coefficients is not discussed. The main purpose of the review is to point to the practical aspects of the models and the problem of statistical inference in finite samples. Some problems for future research are indicated.