The Effect of Recessions on Gambling Expenditures

This article examines the influence of the business cycle on expenditures of three major types of legalized gambling activities: Casino gambling, lottery, and pari-mutuel wagering. Empirical results are obtained using monthly aggregated US per capita consumption time series for the period 1959.01–2010.08. Among the three gambling activities only lottery consumption appears to be recession-proof. This series is characterized by a vast and solid growth that exceeds the growth in income and the growth in other gambling sectors. Casino gambling expenditures show a positive growth during expansions and no growth during recessions. Hence, the loss in income during recessions affects casino gambling. However, income shocks which are not directly related to the business cycle do not influence casino gambling expenditures. Pari-mutuel wagering displays an overall negative trend and its average growth rate is smaller than the growth in income, especially during recessions. The findings of this article provide important implications for the gambling industry and for local governments.     

Diversity and assemblage filtering in ground-dwelling spiders (Araneae) along an urbanisation gradient in Denmark

Urban Ecosystems - We studied the effects on spiders of a three-step rural-urban urbanisation gradient near a Danish town embedded in a historically forested landscape. Using pitfall traps set in...     

Seasonal patterns in slot-machine gambling in Germany

Although several aspects of gambling have been thoroughly investigated, little is known about the effect of seasonality on gambling. This study investigated the seasonal patterns in slot-machine usage, based on a unique data set of slot-machine usage from a German gambling centre using time series analysis. Knowledge of seasonal slot-machine usage patterns provides useful insights for researchers, gambling centre managers and legal authorities. Slot-machine gambling activity appears to be highest in November, when poor weather is compounded with lack of entertainment activities and lowest in December, when ample entertainment possibilities may distract people from gambling. The estimated daily and weekly seasonal patterns support the self-control literature, which suggests that self-regulatory failures are more likely when people are more tired; after work, or late in the evening. The high variation in gambling during winter implies that the availability of alternative entertainment activities may have an important influence on slot-machine usage.     

Two sample inference in functional linear models

We propose a method of comparing two functional linear models in which explanatory variables are functions (curves) and responses can be either scalars or functions. In such models, the role of parameter vectors (or matrices) is played by integral operators acting on a function space. We test the null hypothesis that these operators are the same in two independent samples. The complexity of the test statistics increases as we move from scalar to functional responses and relax assumptions on the covariance structure of the regressors. They all, however, have an asymptotic chi‐squared distribution with the number of degrees of freedom which depends on a specific setting. The test statistics are readily computable using the R package fda , and have good finite sample properties. The test is applied to egg‐laying curves of Mediterranean flies and to data from terrestrial magnetic observatories. The Canadian Journal of Statistics © 2009 Statistical Society of Canada