Do Simulated Gambling Activities Predict Gambling with Real Money During Adolescence? Empirical Findings from a Longitudinal Study

As technology has developed, the international gambling market has changed markedly in recent years. The supply of internet-based gambling opportunities has become ever more significant. At the same time, the introduction of new gambling opportunities always brings a demand for evidence-based scientific evaluation, with regard to the associated risks of addiction. Simulated internet gambling, which is the focus of this study, represents a relatively new product group located at the interface between gambling and computer gaming. Concerns have been raised in scientific literature, especially with regard to the adolescent age group, as to whether participation in simulated internet gambling directly promotes recruitment to the world of monetary gambling, as defined in the gateway hypothesis. The research design was based on a standardized, representative longitudinal survey (over a 1-year period) with a total of 1178 school pupils from Northern Germany (M = 13.6 years; 47.5% male). It must be borne in mind that 12% of the adolescents belonged to the subgroup of “onset gamblers” and first reported experience with monetary gambling at the second stage of surveying. Logistic regression analysis demonstrates that this migration process is fostered by (1) participation from home in simulated gambling on social networks and (2) significant exposure to advertising (relating to both simulated and monetary gambling). Within the subgroup of simulated internet gamblers, variables such as particular patterns of use (including breadth and depth of involvement with simulated internet gambling, certain motives for participation, and microtransactions) do not serve as significant predictors. Despite this, important needs for action for the purposes of prevention and research can be identified.     

Separating online scheduling algorithms with the relative worst order ratio

The relative worst order ratio is a measure for the quality of online algorithms. Unlike the competitive ratio, it compares algorithms directly without involving an optimal offline algorithm. The measure has been successfully applied to problems like paging and bin packing. In this paper, we apply it to machine scheduling. We show that for preemptive scheduling, the measure separates multiple pairs of algorithms which have the same competitive ratios; with the relative worst order ratio, the algorithm which is “intuitively better” is also provably better. Moreover, we show one such example for non-preemptive scheduling.     

L’évolution d’une règle d’organisation sur dix ans : l’accord collectif chez un constructeur d’automobiles en Allemagne

Based on ten years of research on the four-day workweek at Volkswagen in Germany, a longitudinal analysis is proposed of collective bargaining and the new forms of regulation that the automaker is putting into effect. Since the initial labor agreement worked out in 1993, organizational rules have changed considerably. The negotiated agreement on the reduction about the time spent working, the loss of wages and the number of jobs to be kept has been extended by increasing flexibility in the organization of work time. Under pressure from international competition, which has forced the firm to redesign its production process, the company is going to gradually reconfigure its internal labor market.     

Kundenintegration 2.0 – Welche Faktoren beeinflussen die Kundenintegration in transaktionsbasierten Online Communities?

The long-term existence of online communities of transaction mainly depends on the participation of their members. Despite this importance, up to now no studies have empirically investigated the drivers of customer participation in those online communities which are growing in number. The present paper contributes to this research gap by developing a comprehensive model analyzing member-specific, social and provider-specific determinants of customer participation in online communities of transaction. This model is based on two so far rather isolated research streams: traditional customer participation research and online community research. By testing our theoretical model using data generated in an online community of transaction, we identify member-specific drivers to be most important. Thus, providers of these online communities should put an emphasis on marketing activities that have an impact on the community members’ enjoyment and expertise. Moreover, the perceived interactional justice of the interaction within the community and the anticipated saving of money stimulate customer participation as well. Quite unexpectedly, we find social identification and positive network effects to have a negative influence on customer participation.     

Forecasting data revisions of GDP: a mixed frequency approach

Releases of GDP data undergo a series of revisions over time. These revisions have an impact on the results of macroeconometric models documented by the growing literature on real-time data applications. Revisions of U.S. GDP data can be explained and are partly predictable according to Faust et al. (J. Money Credit Bank. 37(3):403–419, 2005) or Fixler and Grimm (J. Product. Anal. 25:213–229, 2006). This analysis proposes the inclusion of mixed frequency data for forecasting GDP revisions. Thereby, the information set available around the first data vintage can be better exploited than the pure quarterly data. In-sample and out-of-sample results suggest that forecasts of GDP revisions can be improved by using mixed frequency data.     

Soziale Ungleichheiten beim Schulstart

Although there is a regular age of school entry in Germany, some children start school later than usual and some children start ahead of schedule. While there has been some decrease in delayed school entries in the last years, the rate of premature school entry has increased substantially. Paradoxically, while the delayed entry is primarily because professionals rate a child as not ready for school, the premature entry is mainly based on parents’ choice. The first aim of the paper is to discover whether kindergarten attendance can reduce the risk of a delayed entry. The arguments and hypotheses are mainly based on the theory on the ecology of human development of Bronfenbrenner. The empirical analyses demonstrate that low educated families profit most by kindergarten attendance, but only if the child begins attending the care institution before reaching age four. The second aim concerns considerations in regard to the decision of prematurely entering school. Socio-economic conditions are not as important at this point as compared with a delay in school entry. However, there are some effects indicating that higher educated parents foster a premature entry to elementary schools. The analyses are based on over 1.400 children in the relevant age group and their parents taking part in the large nationwide German Socio-Economic Panel Study (SOEP).     

Musculoskeletal disorders and productivity

Conclusion On balance, the evidence supports an association of higher productivity increases with lower MSD rates and greater reductions in MSD rates. Across all industries for which data were available, lower MSD rates were significantly correlated with higher productivity increases. Since both changes in MSDs and in productivity have many varied causes, the effects of efforts specifically intended to reduce MSDs are difficult to isolate from these data. Nevertheless, in two subsets of industries those effects may be more likely to be discernible: industries with the largest reductions in MSD rates would be more likely to have made changes intended to reduce MSDs, and industries with lower productivity growth may reduce the effects of unrelated productivity gains on MSD/ productivity observations. Statistically significant correlations between reductions in MSDs and increases in productivity were found among both of these groups. In addition, among industries with the highest MSD rates in 1992, the extent of implementation of ergonomic controls was significantly correlated with increases in productivity. A special thank you is extended to William Weber, William McCarthy, and Linda Garris of the Bureau of Labor Statistics, Office of Safety, Health and Working Conditions, for providing MSD industry data for 1992 and 1998. The opinions expressed in this article are those of the authors and do not necessarily reflect the official positions of the department or agency with which the writers are affiliated. Jens Svenson is currently on detail to the Office of Management and Budget.     

Income distribution and financial satisfaction between spouses in Europe

The article analyses the distribution of income between spouses and the consequences for their financial satisfaction within different welfare regimes. We find that the financial satisfaction of husbands declines and that the financial satisfaction of wives increases the more a wife earns relative to her husband. However, the relationships are often of an inversed U-shaped form for both sexes, with men achieving the highest satisfaction at an earlier stage than women. Within the Scandinavian welfare state regime this optimal distribution is found closer to the actual income distribution than in the continental European and liberal regimes, and in the southern European regime the optimal distribution is far from being achieved.     

The economic costs of childhood poverty in the United States

This paper attempts to estimate the aggregate annual costs of child poverty to the US economy. It begins with a review of rigorous research studies that estimate the statistical association between children growing up in poverty and their earnings, propensity to commit crime, and quality of health later in life. We also review estimates of the costs that crime and poor health impose on the economy. Then we aggregate all of these average costs per poor child across the total number of children growing up in poverty in the United States to obtain our estimate of the aggregate costs of the conditions associated with childhood poverty to the US economy. Our results suggest that these costs total about $500 billion per year, or the equivalent of nearly 4% of gross domestic product (GDP). More specifically, we estimate that childhood poverty each year: (1) reduces productivity and economic output by an amount equal to 1.3% of GDP, (2) raises the costs of crime by 1.3% of GDP, and (3) raises health expenditures and reduces the value of health by 1.2% of GDP.