Social Disorganization Theory and the Contextual Nature of Crime in Nonmetropolitan Counties*

Abstract This research explores violent and property crime rates in nonmetropolitan counties. It is argued that crime rates are lower in these counties because of higher levels of social integration. We test the hypothesis that predictors of crime from social disorganization theory exert different effects on violent and property crimes at different levels of population change in nonmetropolitan counties. We use a spatial lag regression model to predict the 1989–1991 average violent and property crime rates for these counties, taken from the Uniform Crime Reports (UCR). The results show that a factor‐analyzed index of resource disadvantage (poverty rate, income inequality, unemployment, percent female‐headed households) has different effects on both violent and property crime at different levels of population change in nonmetropolitan counties. Contrary to expectations, we find that resource disadvantage exerts a greater positive effect on both violent and property crimes in nonmetropolitan counties that lost population between 1980 and 1990. Implications for theory and research are discussed.     

Working for a Better Life: Longitudinal Evidence on the Predictors of Employment Among Recently Arrived Refugee Migrant Men Living in Australia

Although a number of studies have investigated the predictors of employment among refugee migrants, there is a dearth of evidence from longitudinal data. This study investigated the cross‐sectional and longitudinal predictors of employment among 233 adult refugee men living in South‐East Queensland, Australia. Participants were interviewed four times at six‐month intervals between 2008 and 2010. Using a conceptual model developed from the literature, Generalized Estimating Equations were used to model the predictors of employment. Over time, the employment rate increased from 44 per cent to 56 per cent. Region of birth, length of time in Australia, seeking employment through job service providers and informal networks, and owning a car were significant predictors of employment. Contrary to previous research, English language proficiency was not a significant predictor when other variables were controlled for. Recognition of overseas skills and qualifications decreased the chances of finding employment. The policy and programme implications are discussed.

Policy Implications

• Recognition of refugee migrants' overseas‐gained skills and qualifications does not guarantee them securing employment.
• Recognition of overseas skills and qualifications should be accompanied by educating employers, especially those outside the traditional migrant employment ‘niches’, about the resources and capabilities of refugee migrants, and the value of their qualifications.
• Fostering programmes that target the needs of job seekers from refugee backgrounds could enhance their employment outcomes.
• Supporting refugee migrants getting their drivers' licence and establishing favourable loan programmes that enable refugee migrants to buy a car can have a positive impact on their workforce participation.

     

Work‐Family Enrichment and Conflict: Additive Effects,Buffering, or Balance?

We used data from the Midlife Development in the United States (MIDUS I) (N = 2,031) to compare three models of how work‐family conflict and enrichment might operate to predict well‐being (mental health, life satisfaction, affect balance, partner relationship quality). We found no support for a relative‐difference model in which the conflict‐enrichment balance predicted outcomes. In the work‐to‐family direction, the additive model fit best: Both work‐to‐family conflict and work‐to‐family enrichment were independently linked to outcomes. In the family‐to‐work direction, the interactive model fit best: Family‐to‐work enrichment buffered the negative outcomes ordinarily linked to family‐to‐work conflict. Enrichment is key because with the additive model, it contributed incremental explanatory power, and with the buffering model, it conditioned conflict‐outcome relationships. Work‐to‐family conflict and family‐to‐work enrichment appeared particularly salient for well‐being.     

DISPERSION CONTROL FOR MULTIVARIATE PROCESSES

This paper presents some techniques for monitoring and controlling the dispersion of multivariate normal processes based on subgroup data. The procedures involve use of independent statistics resulting from the decomposition of the covariance matrix. Those that do not depend on prior estimates of the process covariance matrix are particularly attractive to short-run or low volume manufacturing environments.     

The development of a new measure for work-family research: Community resource fit

We describe the development and validation of a quantitative measure of community resource fit; i.e., satisfaction with the extent to which community resources meet the needs of working families of school-aged children. The measure has good psychometric properties, and preliminary results suggest that the measure warrants further study. The measure is composed of six moderately intercorrelated subscales assessing resource fit in the areas of work, public transportation, school, school transportation, after-school programs and after-school transportation resources. We found interesting patterns of results linking community resource fit, especially in the areas of work and school resource fit, to a variety of quality-of-life and well-being outcomes among employed parents of school-aged children. These outcomes include work-to-family and family-to-work conflict and enhancement, psychological distress, job–role quality, likelihood of losing or leaving one's job and likelihood of leaving one's line of work.     

REDUCED DISTANCE MEASURES AND TRANSFORMATIONS IN PROCESSING MULTIVARIATE OUTLIERS

The study of multivariate outliers raises many problems of definition, principle and manipulation. Well-authenticated tests of discordancy exist only for the multivariate normal distribution. Detection of outliers in non-normal distributions involves the adoption of appropriate criteria to represent 'extremeness' of observations in a sample; corresponding tests of discordancy usually require tedious, or even intractable, distributional and computational manipulations. A class of transformations of the data is considered with a view of transferring some of the familiar and desirable features of discordancy tests for normal samples to non-normal situations.     

Outliers in sample surveys

Outliers can as readily arise in sample survey (i.e. finite population) data as in samples from infinite populations. For infinite populations, an extensive methodology exists: very little has been written on the finite population case. We shall explore matters of definition and concept to formulate some basic principles for handling outliers in sample survey data. Some existing methods for outlier accommodation are reviewed and proposals are made for the dual problem of outlier tests of discordancy.     

The Market Response to the Sioux City DC-10 Crash

The 1989 DC-10 crash at Sioux City, Iowa presented a rare instance in which a potential threat to safety was both (i) intensely publicized over a short period and (ii) also amenable to the unobtrusive measurement of the market reaction it evoked. As such, it allowed a useful case study of the extent and duration of behavior change caused by a frightening event. Using reservations data from travel agencies in five states, this paper estimates the short-term effects of the Sioux City crash on passenger willingness to fly the DC-10. The data suggest that, in the first few weeks after the crash, more than one third of travelers who would normally have booked DC-10 flights chose instead to fly other aircraft. Within 2 months of the disaster, however, DC-10 bookings rebounded to within 10% of the level that would have been expected had the Sioux City crash not occurred. At no time, apparently, did the airlines that operate DC-10s use their "yield-management" computer pricing systems unofficially to lower DC-10 fares relative to those on other types of plane.     

Recent Monetary Policy and the Divisia Monetary Aggregates

This article explains the currently available capability to use formal statistical index number theory to measure the economy's money supply accurately. The new procedure is illustrated by exploring the tightness of money during the recent three-year period of “monetarist” Federal Reserve policy. When measured by a properly constructed statistical index number, the rate of growth of the money supply is found to have been lower and more volatile than when measured by the official simple sum monetary aggregates. As a result, targeting the simple sum aggregates may have induced a tighter and more volatile policy than was intended.     

A Monte Carlo Study of Tests of Blockwise Weak Separability

Separability assumptions on functional structure have received a great deal of attention from econometricians and economic theorists because (a) separability provides the fundamental linkage between aggregation over goods and the maximization principles in economic theory, (b) separability provides the theoretical basis for partitioning the economy's structure into sectors, and (c) separability provides a theoretical hypothesis, which can produce parameter restrictions, permitting great simplification in estimation of large demand systems. The power of the various available tests for separability has never been determined, however. We conduct Monte Carlo studies to examine the capability of currently available methods to provide correct inferences about separability.