Race,Ethnicity, and Underemployment in Nonmetropolitan America: A 30‐Year Profile*

Abstract Historically, rural racial and ethnic minorities have been among the most economically disadvantaged groups in the United States. Key to understanding economic deprivation is employment hardship, trends in which serve as a benchmark for progress toward racial and ethnic equality. We conceptualize employment hardship as underemployment, which goes beyond unemployment to include discouraged workers, involuntary part‐time workers, and the working poor. Analyzing data from the March Current Population Surveys of 1968 through 1998, we find that (1) there are large and persistent racial and ethnic inequalities in underemployment prevalence; (2) these disadvantages are explained only partially by other predictors of underemployment; (3) nonmetropolitan (nonmetro) minorities are more likely than either all metropolitan (metro) or central‐city minorities to be underemployed; (4) black‐white inequality has held steady overall, though it has declined markedly in nonmetro areas; and (5) Hispanic‐white inequality has increased; this trend, however, is restricted to metro areas, central cities in particular.     

A BIVARIATE BINOMIAL DISTRIBUTION AND SOME APPLICATIONS1

This study is concerned with the joint distribution of the total numbers of occurrences of binary characters A and B, given three independent samples in which both characters, A but not B, and B but not A, are observed. The distribution function is given; its conditional distributions and regression functions are found; bounds on certain joint probabilities are established; and conditions for bivariate Poisson and Gaussian limits are studied. An application yields the joint distribution of sign statistics for the pair-wise comparison of treatments with a control.     

Social Capital and Human Mortality: Explaining the Rural Paradox with County‐Level Mortality Data

The “rural paradox” refers to standardized mortality rates in rural areas that are unexpectedly low in view of well‐known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro‐nonmetro and rural‐urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race and ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county‐level analyses such as ours to yield unbiased estimates and optimal model fit.     

Reassessing and Revising Commuting Zones for 2010: History,Assessment, and Updates for U.S. ‘Labor-Sheds’ 1990–2010

This paper employs commuter flow data from the 1990 and 2000 Decennial Censuses, and the 2006–2010 American Community Survey to replicate, evaluate, and extend the delineation of commuting zones first proposed by Tolbert and Killian (Labor Market Areas for the United States, 1987). Commuting zones offer a valuable tool for research on regional economies and have long served rural sociologists, economists, and geographers interested in a representation of the economy that acknowledges a connection between urban and rural areas and the capacity of economic systems to cross state lines. Our delineations provide both an update in the form of new delineations for 2010 and a revised set of 1990 and 2000 delineations that benefit from a consistent methodology across decades. We also provide a set of tools for comparing delineations across methods and over time. In presenting our revised delineations, we shed light on the role of expert opinion in the original delineations, the strengths and weaknesses of the original method, and offer suggestions for further revision of this tool that may better reflect the theoretical conception of commuting zones.     

How Academic Achievement,Attitudes, and Behaviors Relate to the Course of Substance Use During Adolescence: A 6‐Year,Multiwave National Longitudinal Study

Self‐report data regarding alcohol, cigarette, and marijuana use were collected biennially from ages 14 to 20 in a nationally representative panel sample of adolescents (N=1,897) from the Monitoring the Future study. Growth curve analyses were performed using hierarchical linear modeling to consider psychosocial background, motivation and school attitudes, and parental and peer influences at age 14 as predictors of concurrent substance use and change in substance use. Results indicated that school misbehavior and peer encouragement of misbehavior were positively associated with substance use at age 14 and with increased use over time; school bonding, school interest, school effort, academic achievement, and parental help with school were negatively associated. The protective effects of positive school attitudes and perceptions of high status connected to academics were stronger for low‐achieving compared with high‐achieving youth. Implications for a developmental perspective on substance use etiology and prevention are discussed.