Behavior Genetic Research on Gambling and Problem Gambling: A Preliminary Meta-Analysis of Available Data

A meta-analysis of family and twin studies on gambling and problem gambling was initiated in an effort to determine the probable role of genetic factors in high risk wagering. Two twin studies and 17 investigations employing the family history or family study method were included in this meta-analysis. A summation of the 19 studies produced a small but significant overall effect size (weighted = .10, unweighted = .13), with both family (weighted = .12, unweighted = .14) and twin (weighted = .06, unweighted = .05) studies achieving significant individual mean effects. Given the paucity of twin data, further analysis was confined to family studies and revealed a stronger familial effect for the sons of problem gambling fathers than for the daughters of problem gambling mothers and for more severe forms of problem gambling than for less severe forms of problem wagering, and was strongest for high severity problem gambling in males. The implications of these results are discussed.     

An Empirical Investigation of Web Site Use Using a Commitment‐Based Model

Companies throughout industry are interested in retaining existing customers, because customers' continuous consumption of products and services is critical to the long‐term value propositions of most organizations. Thus, decision‐making strategies that promote continuous use and customer retention are of research interest, both theoretically and practically. In the present research, we investigate one important area of continuous usage, that of Web site use. In particular, we use several theories of commitment to understand how an individual's decision to continue to use a Web site is influenced by his or her commitment toward that Web site and the vendor that supports it. Results derived from data collected from 335 users of a variety of Web sites indicated that affective commitment, calculative commitment, quality of alternatives, and trust were significantly associated with an individual's behavioral intention to continue to use a Web site. Implications for customer retention and decision‐making strategies are discussed.     

Book Review: Charity Law Matters. By Ronan Cormacain,Kerry O'Halloran,and Arthur Williamson. The Stationery Office,Belfast, 2001

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

The Cox Proportional Hazards Model with a Partly Linear Relative Risk Function

The conventional Cox proportional hazards regression model contains a loglinear relative risk function, linking the covariate information to the hazard ratio with a finite number of parameters. A generalization, termed the partly linear Cox model, allows for both finite dimensional parameters and an infinite dimensional parameter in the relative risk function, providing a more robust specification of the relative risk function. In this work, a likelihood based inference procedure is developed for the finite dimensional parameters of the partly linear Cox model. To alleviate the problems associated with a likelihood approach in the presence of an infinite dimensional parameter, the relative risk is reparameterized such that the finite dimensional parameters of interest are orthogonal to the infinite dimensional parameter. Inference on the finite dimensional parameters is accomplished through maximization of the profile partial likelihood, profiling out the infinite dimensional nuisance parameter using a kernel function. The asymptotic distribution theory for the maximum profile partial likelihood estimate is established. It is determined that this estimate is asymptotically efficient; the orthogonal reparameterization enables employment of profile likelihood inference procedures without adjustment for estimation of the nuisance parameter. An example from a retrospective analysis in cancer demonstrates the methodology.     

Migration of Retirement‐Age Blacks to Nonmetropolitan Areas in the 1990s

Older blacks migrated to nonmetropolitan (nonmetro) communities in the 1990s to a degree not true of the past. Some of the nonmetro counties that attracted them are well‐known retirement areas also favored by other retirees, mostly whites. Two‐thirds of black retirement counties, however, are areas in the Old South that are not attracting other retirees at a substantial rate, if at all. Although the data indicate significant rates of retirement‐age blacks migrating to 85 nonmetro counties, most migration by older blacks is to metro destinations.     

Evidence for the use of an algorithm in resolving inconsistent and missing Indigenous status in administrative data collections

Measures of the gap in living standards, life expectancy, education, health and employment between Indigenous and non‐Indigenous Australians are primarily derived from administrative data sources. However, Indigenous identification in these data sources is affected by administrative practices, missing data, inconsistency, and error. As these factors have changed over time, assessing whether the gap between Indigenous and non‐Indigenous Australians has changed over time, based on data unadjusted for these sources of error can potentially lead to misguided conclusions. Combining administrative data on the same individuals collected from different sources provides a method by which a more consistent derived Indigenous status can be applied across all records for an individual within a linked data environment. We used the Western Australian Data Linkage system to produce derived Indigenous statuses for individuals using a range of algorithms. We found that these algorithms reduced the amount of missing data and improved within‐individual consistency. Based on these findings, we recommend our Multi‐Stage Median algorithm be used as the standard indicator of Indigenous status for any reporting based on administrative datasets when multiple datasets are available for linkage, and that algorithmic approaches also be considered for improving the quality of other demographic variables from administrative data sources.     

Population Density and Fertility in 22 Indian Villages

Do agriculturists in the Third World sometimes adjust to increasing population density by having fewer children? Over-time data (1961–1972) for 22 farm villages in India point to such a possibility. Cross-sectionally, villages with higher density tend to have lower fertility, even with controls for village caste composition, prior fertility, female literacy, and agricultural production. Similarly, the regression coefficient for village density is negative when the cross-sections are “pooled.” Population density apparently has an inhibiting effect on fertility in these villages.     

Residential preferences and population redistribution: 1972–1988

In seeking to explain recent trends in population distribution, there has been increased interest in residential preferences. This study is a comparison of preferences based on 1972 and 1988 national surveys, years that bracket a period of considerable change in distribution patterns. Over time there has been a small shift in preference toward cities less than 500,000 in size, primarily by those already living there. Rural settings, especially near cities, continue to be very attractive. At both times studied, more than half of those preferring a smaller or more remote place would retain this preference even if it meant 10% less income. Nevertheless, the proportion preferring to live more than 30 miles from a large city was unchanged and approximately equal to the proportion already living there at both times, indicating that a discrepancy between where people live and where they want to live is not an important basis for the upturn in nonmetropolitan growth away from large cities in the 1970s or the downturn in the 1980s.