Gender Inequality in Nonmetropolitan and Metropolitan Areas1

Abstract Nonmetropolitan-metropolitan differences in the United States are large and growing, but we know relatively little about how they interact with gender differences. Using data from the CPS, the Census PUMS, and the GSS, we find nonmetropolitan and metropolitan areas are quite similar in the gender gap in earnings and in rates of married women's labor force participation. Occupational sex segregation is higher and some gender attitudes are a few percentage points less egalitarian in nonmetropolitan areas. Each of these dimensions of gender stratification has been declining over the last two decades and the declines are roughly similar in nonmetropolitan and metropolitan areas. Variations in gender stratification have been greater over time than across place. Thus, while both place and gender are important dimensions of stratification, there appears to have been little interaction between the two.     

Negotiating postcolonial Eurasian identities and national belonging in global-city Singapore

ABSTRACT

A racial classification regime, partly derived from colonial race categories that solidified during the British Empire, remains a key governance strategy in postcolonial Singapore, sorting citizens into the categories of Chinese, Malay, Indian or Other (CMIO). This racial grid continues to be a simplification of the actual complexity of lived identities and experiences, particularly for people of mixed descent. In this context, we explore the contemporary meanings and resonances of racial identity and national belonging as negotiated among members of a historic mixed-descent community – the Eurasians – in the context of a nation-state built on an institutionally fixed racial template. As a community, Eurasians are commonly attributed to the presence and mixing of especially Dutch, Portuguese and British – but also other Europeans – with an equally variegated palette of Asian cultures, since the 16th century. Based on 30 biographical interviews with self- identified Eurasians of two generations, this paper examines how individual and collective narratives of ‘old’ hybrid identities are changing in relation to the emergence of potentially new hierarchies of racial belonging with the arrival of new migration and the rise of international marriage in globalizing times. Given the lived reality of an expanding range of ‘race’ identities of different permutations and combinations, the politics of choice is played out between countervailing forces which draw racialized boundaries around the community more tightly on the one hand, and liberalize claims to racial and national belonging on the basis of self-identification on the other.     

Race Lessons in Black and White: How White Adoptive Parents Socialize Black Adoptees in Predominately White Communities

This article examines the approaches, strategies, and perspectives that White adoptive parents use to teach their adopted Black children about coping with race-based discrimination and the development of a positive racial identity. Using qualitative methods and the theoretical construct of White racial framing, the authors identify and critically analyze themes in the parents' race lessons. The central aim of this article is to uncover how these race lessons position family members to either challenge or perpetuate historical, racial inequities and mistreatment faced by African Americans and other communities of color within US society.     

Relating Individual Control, Social Understanding, and Gender to Child–Friend Interaction: A Relationships Perspective

According to a relationships perspective, it is critical to consider how the individual behaviors and characteristics of both partners shape their social interaction. Adopting a relationships approach to the investigation of children's friendships, we examined how preschool children's and their friends’ controlling behaviors, social understanding, and gender were related to their dyadic interaction. Child–friend dyads (n = 49) were videotaped in two laboratory play sessions (free play and sharing task), and child interviews assessed understanding of emotions and false beliefs. Both children's indirect control was associated with coordinated play during the free play session, and both children's direct control was associated with conflict during the sharing task. Moreover, dyadic interaction varied as a function of study children's social understanding, friends’ social understanding, and play session. An interaction between gender composition and play session also emerged for dyadic conflict. Multiple regression analyses suggested that study children's controlling behaviors accounted for associations between dyadic interaction and more ‘distal’ individual factors (i.e., social understanding, gender). The findings underscore the need to examine how both children's individual competencies are related to the quality of their dyadic interaction and illuminate how the associations between individual factors and dyadic interaction are moderated by the interactive context.     

Rock Up: An initiative supporting students' wellbeing in their transition to secondary school

This paper reports the background and findings of the community-based pilot program ‘Rock Up’ to school. The Rock Up program was directed at a niche section of young students in Grades 5, 6, and 7 to respond to identified risk factors associated with disengagement from formal education. The Rock Up approach was to energise these students' connection to learning as they approach the difficult stage of transition from primary school to secondary school. Ultimately, Rock Up aims to assist those students in their development of wellbeing, within and outside of the school environment. The operational measures of wellbeing covered; academic, social, emotional, behavioural, and school absence. Thirteen students, who had been identified by their respective teachers, were invited to participate in individual and/or group activities that focused on their wellbeing and developing their readiness for secondary school. Written and verbal feedbacks from students, teachers, parents, and the program facilitator, were in the main very positive. Analysis of the data of the first round of the program using a three-wave questionnaire and a participatory action research approach indicated the need to proceed to a new round using more refined processes. When fully developed, Rock Up is intended to be the vanguard for collaborative practice between the education and community sectors throughout Victoria and to be an example of an efficient and effective model of transition for this age-group.     

Migration intentions and behavior: Decision making in a rural Philippine province

The relationship between intentions and behavior is basic to micro-level migration decision research. This study, set in the rural Philippine province of Ilocos Norte, provides evidence on personal and structural background factors and value-expectancy perceptions of place utility that predict migration intentions and behavior. Separate analyses are conducted for general intentions to move and for destination-specific migration intentions, the latter pertaining to both internal migration (Manila) and international migration (Hawaii). Logistic regression analyses applied to the data from a 1980–82 longitudinal survey show that the empirical models are highly efficient in explaining migration intentions but less efficient in explaining actual migration behavior in this Third World setting. Important explanatory variables for both intentions and behavior include family pressure to move or stay, family auspices at alternative destinations, money to move, prior migration experience, and the life cycle stage (marital status and age). However, the determinants of internal and international migration behavior are not the same. The data only partially support the Ajzen and Fishbein (1980) position that intentions are the dominant determinant of behavior. Personal and structural background factors are shown to exert independent direct effects on migration behavior.Revised version of a paper presented at the annual meeting of the Population Association of America, Minneapolis, Minnesota, May 2–5, 1984. Research for this paper was supported by NIH Grant No. R01-HD13115, the Population Center Foundation, The Philippines, the East-West Population Institute, Honolulu, Hawaii, and the Population Issues Research Center, University Park, PA. The other coinvestigators for this project are Fred Arnold, East-West Population Institute, and Benjamin V. Carino, University of the Philippines.     

Improved estimation for the parameters of an inverse gaussian distribution

James-Stein estimators are proposed for the #-parameter of an inverse Gaussian #G# distribution. The estimators of this class have smaller expected quadratic loss than the maximum likelihood estimator usually employed when analysing real sets of data. This problem is also studied for the case of an unknown nuisance parameter. Finally, improved estimators are considered for # in the two sample problem.     

Non-parametric Curve Estimation by Wavelet Thresholding with Locally Stationary Errors

An important aspect in the modelling of biological phenomena in living organisms, whether the measurements are of blood pressure, enzyme levels, biomechanical movements or heartbeats, etc., is time variation in the data. Thus, the recovery of a 'smooth' regression or trend function from noisy time-varying sampled data becomes a problem of particular interest. Here we use non-linear wavelet thresholding to estimate a regression or a trend function in the presence of additive noise which, in contrast to most existing models, does not need to be stationary. (Here, non-stationarity means that the spectral behaviour of the noise is allowed to change slowly over time). We develop a procedure to adapt existing threshold rules to such situations, e.g. that of a time-varying variance in the errors. Moreover, in the model of curve estimation for functions belonging to a Besov class with locally stationary errors, we derive a near-optimal rate for the -risk between the unknown function and our soft or hard threshold estimator, which holds in the general case of an error distribution with bounded cumulants. In the case of Gaussian errors, a lower bound on the asymptotic minimax rate in the wavelet coefficient domain is also obtained. Also it is argued that a stronger adaptivity result is possible by the use of a particular location and level dependent threshold obtained by minimizing Stein's unbiased estimate of the risk. In this respect, our work generalizes previous results, which cover the situation of correlated, but stationary errors. A natural application of our approach is the estimation of the trend function of non-stationary time series under the model of local stationarity. The method is illustrated on both an interesting simulated example and a biostatistical data-set, measurements of sheep luteinizing hormone, which exhibits a clear non-stationarity in its variance.     

Comparison of several imputation methods for missing baseline data in propensity scores analysis of binary outcome

We performed a simulation study comparing the statistical properties of the estimated log odds ratio from propensity scores analyses of a binary response variable, in which missing baseline data had been imputed using a simple imputation scheme (Treatment Mean Imputation), compared with three ways of performing multiple imputation (MI) and with a Complete Case analysis. MI that included treatment (treated/untreated) and outcome (for our analyses, outcome was adverse event [yes/no]) in the imputer's model had the best statistical properties of the imputation schemes we studied. MI is feasible to use in situations where one has just a few outcomes to analyze. We also found that Treatment Mean Imputation performed quite well and is a reasonable alternative to MI in situations where it is not feasible to use MI. Treatment Mean Imputation performed better than MI methods that did not include both the treatment and outcome in the imputer's model. Copyright © 2009 John Wiley & Sons, Ltd.