Has the national minimum wage reduced UK wage inequality?

Summary.  The paper investigates the effect on the wage distribution of the introduction, in April 1999, of the national minimum wage (NMW) in the UK. Because of the structure of UK earnings statistics, it is not straightforward to investigate this and various methods for adjusting the published statistics are discussed. The main conclusions are that the NMW does have a detectable effect on the wage distribution and that compliance with the NMW is widespread but the effect is limited because the NMW has been set at a level such that only 6–7% of workers are directly affected and the NMW has had virtually no effect on the pay of workers who are not directly affected. Furthermore, virtually all the changes occurred within 2 months of the introduction in April 1999 and its effect declined over time from April 1999 to September 2001 as the minimum wage was not uprated in line with the increase in average earnings. The more substantial increase in the NMW in October 2001 partially, but not wholly, restored some of this decline in impact.     

Polygyny and reproductive behavior in sub-saharan Africa: A contextual analysis

In this paper I examine the effect of polygyny on aggregate reproductive behavior. I argue that within countries there exist different polygyny regimes, each exhibiting a unique reproductive pattern. Using the 1988/1989 Kenya Demographic and Health Survey (KDHS1) data, I identify three distinct regimes: low-polygyny, mid polygyny, and high-polygyny regimes. The results of the bivariate and multivariate analyses reveal strong differences in reproductive preferences and behaviors across polygyny regimes. High-polygyny regimes, for instance, maintain a value orientation that favors and encourages high reproductive performance. The force of this pronatalism operates equally for men and women; but whereas men in this regime attain their reproductive goals by marrying multiple wives, women attain theirs by maximizing their reproductive capabilities. This maximization occurs through early initiation of sexual/reproductive activity, universal marriage and minimal interruption of marriage, nonuse of contraception within a union, and a positive attitude toward high fertility.     

Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology

The increasing availability of high-throughput data, that is, massive quantities of molecular biology data arising from different types of experiments such as gene expression or protein microarrays, leads to the necessity of methods for summarizing the available information. As annotation quality improves it is becoming common to rely on biological annotation databases, such as the Gene Ontology (GO), to build functional profiles which characterize a set of genes or proteins using the distribution of their annotations in the database. In this work we describe a statistical model for such profiles, provide methods to compare profiles and develop inferential procedures to assess this comparison. An R-package implementing the methods will be available at publication time.     

Social Indicators Research and Health-Related Quality of Life Research

The aim of this essay is to build a bridgebetween two intersecting areas of research,social indicators research on the one hand andhealth-related quality of life research on theother. The first substantive section of thepaper introduces key concepts and definitionsin the social indicators research tradition,e.g., social indicators, positive, negative,input and output indicators, social reports andquality of life. After that, there is asection reviewing some historical origins andmotives of social indicators researchers,beginning roughly with Jeremy Bentham's`felicific calculus' and ending with the searchfor a comprehensive accounting scheme capableof measuring the quality of human existencewith social, economic and environmentalindicators.Results of eleven surveys are reviewed whichwere undertaken to explain happiness on thebasis of levels of satisfaction thatrespondents got from a dozen specific domainsof their lives, e.g., satisfaction with theirjobs, family relations and health. On average,for the eleven samples, we were able to explain38% of the variance in reported happiness fromsome subset of the predictor variables. Satisfaction with one's own health was never the strongest predictor of happiness inany sample. In five of the eleven samples,satisfaction with one's own health failed toenter the final explanatory regression equationfor lack of statistical significance. Theresults in this section of the essay show thatdifferent groups of people with different lifecircumstances, resources and constraints usedifferent mixtures of ingredients to determinetheir happiness.After examining some research revealing therelative importance of people's satisfaction with their health to theiroverall happiness, I consider some studiesrevealing the importance of people's self-reported health to their overallhappiness. Self-reported health is measuredprimarily by the eight dimensions of SF-36.When a variety of additional potentialpredictors are entered into our regressionequation, 44% of the variance in happinessscores is explained, but only one of the eightdimensions of SF-36 remains, namely, MentalHealth. The latter accounts for a mere four%age points out of the total 44. Thus,self-reported health has relatively little tocontribute toward respondents' reportedhappiness, and its measured contribution issignificantly affected by the number and kindsof potential predictors employed.Two approaches to explaining people'ssatisfaction with their own health areconsidered. First, using the same set ofhealth-related potential predictors of overallhappiness, we are able to explain 56% of thevariance in respondents' satisfaction withtheir own health. Then, using MultipleDiscrepancies Theory, we are able to explainabout 51% of the variation in satisfactionwith one's own health scores for 8,076undergraduates, with highs of 76% for a sampleof Finnish females and 72% for Korean males.Accordingly, it is reasonable to conclude thatif one's aim is to explain people'ssatisfaction with their own health, thepotential predictors assembled in MDT canprovide quite a bit and sometimes even moreexplanatory power than a reasonably broad setof measures of self-reported health.In the penultimate section of the essay it isargued that there are good reasons forcarefully distinguishing ideas of health andquality of life, and for not interpreting SF-36and SIP scores as measures of the quality oflife. It is suggested that we might all bebetter off if the term `health-related qualityof life' is simply abandoned. However, sincethis is unlikely to happen, it is stronglyrecommended that researchers be much morecareful with their usage of the phrase andtheir interpretation of purported measures ofwhatever the phrase is supposed to designate.     

THE ROMANTIC RELATIONSHIPS OF AFRICAN-AMERICAN AND WHITE ADOLESCENTS

Using data from the National Longitudinal Study of Adolescent Health (Add Health), we analyze African-American and white respondents' reports of the nature of their romantic experiences. We explore levels of companionate intimacy, including frequency of interaction and intimate self-disclosure, degree of romantic and sexual intimacy, as well as problem areas including relationship violence and nonexclusivity. African-American respondents report relationships of longer average duration relative to white youths, but overall responses reflect a somewhat less intense or intimate relationship style. These observed differences were not completely attenuated once relevant controls are introduced. We connect these findings to prior research on African-American adolescent family and peer relations, and call for additional research that supplements the behavioral emphasis of Add Health.     

Social structure and homicide in post-Soviet Russia

The Russian homicide rate is among the highest in the world. Local rates are not uniform, however, but instead show tremendous variation throughout this large nation. As a result of varying levels of development, differential access to natural resources, past Soviet economic and social policies, and the varying pace of the social, political, and economic transition, there are also large differences across Russia in structural factors thought to be related to interpersonal violence. In this study, newly available vital statistics and socioeconomic data were employed to estimate the effects of social structural characteristics on homicide rates in the Russian regions (n = 78). Results revealed that commonly tested covariates such as poverty and single-parent households were positively associated with regional homicide victimization rates, as was a proxy for heavy drinking. Further, homicide rates in the Northern Caucasus and the regions east of the Ural mountains are significantly lower and higher, respectively, than in the rest of the country. These results are discussed in terms of the current Russian situation and integrated into the broader literature on social structure and homicide.     

Limit theorems for a general weighted process under random censoring

Necessary and sufficient conditions for weak and strong convergence are derived for the weighted version of a general process under random censoring. To be more explicit, this means that for this process complete analogues are obtained of the Chibisov-O'Reilly theorem, the Lai-Wellner Glivenko-Cantelli theorem, and the James law of the iterated logarithm for the empirical process. The process contains as special cases the so-called basic martingale, the empirical cumulative hazard process, and the product-limit process. As a tool we derive a Kiefer-process-type approximation of our process, which may be of independent interest.     

Three years later: the adaptation process of 1980 (Mariel) Cuban and Haitian refugees in South Florida

In recent years, southern Florida has experienced rapid new inflows of immigrants from Central America and the Caribbean. Since the arrival in 1980 of Mariel (Cuban) and Haitian immigrants to this area, a great deal of speculation has emerged as to the adaptation of these two groups to south Florida and the impact which their presence has wielded on the social and economic arenas of that region. In this paper, we present selected background characteristics of representative samples of both groups and discuss our empirical findings with regard to the labor market experiences, social networks, and educational experiences of the immigrants included in our sample. While the two groups minimally differ from earlier cohorts of their compatriots entering south Florida, their experiences since arriving in Florida have been quite different. Both the Cuban and Haitian immigrants arriving in 1980 demonstrate higher levels of unemployment than their counterparts who arrived earlier; however, the existence of the Cuban economic enclave in Miami did facilitate the entry of a greater number of Cubans than Haitians into the formal labor market. Initial evidence indicates that significant numbers of individuals from both groups participate in the informal labor market, often receiving less than the minimum wage.This study was conducted with the support of the Sociology Program, National Science Foundation (Grant #SES-8215567).