Purpose -The purpose of this paper is to offer two empirical analyses of differences in the donations of money and time between males and females based on the impact of identical variables on the donation of money and time. Analysis was made of not only how a person's giving patterns are determined for both sexes, but also what portion of differences in giving patterns can be explained by observable and unobservable characteristics between men and women. Design/methodology/approach -The US dataset Giving and Volunteering 1999 was used in the study. Findings -It was found that, on average, women are predicted to donate more of both money and time. Variables affecting money donations are significant and robust for both males and females, whereas the variation in time donation is poorly explained by the same variables. A substantial portion of the money and time donation differential gap (over 85 percent in time donation) is unexplained by mean levels of characteristics such as, wage, age and experience. Practical implications -While the issue of whether altruism is innate or the product of socialization is not addressed, these results imply that women bring an extra willingness to give and to volunteer than do men. As women gain economic power in the marketplace, this may result in even more giving and volunteering, creating a windfall to organizations that rely on such donations. Originality/value -Organizations that rely on women for donations of time and money may find these results interesting. They imply that women are motivated by forces not easily captured by a traditional wage equation, especially when looking at donations of time.
The authors examine data on giving and volunteering to determine whether public provision of social services and other public goods affects donations of time and money and provides evidence of crowding out. They find a negative and statistically significant relationship between government spending and donations of money and time. They also find that volunteers have demographic and other characteristics that are associated with high values of time and money.
PurposeThe purpose of this paper is to empirically investigate the linkage between obesity and motor vehicle deaths.Design/methodology/approachThe paper specifies a model that explains highway fatalities, which accounts for obesity in its set of potential determinants. State‐level data are utilized in this paper. The values for all variables are for the year 2005. They correspond to 46 of the contiguous states for all measures. The model is estimated by multiple regressions.FindingsThe paper finds that the motor vehicle death rate (fatalities per million vehicle miles) has a statistically significant positive relationship with the percentage of the population that is obese. The death rate also has significant positive associations with the percentage of elderly male drivers, per capita alcohol consumption, and temperature; and it has significant negative relationships with per capita income, the percentage of elderly female drivers, seat belt use, and precipitation.Practical implicationsThe estimates of this paper have various policy implications. For example, the findings pertaining to occupant body weight imply that efforts leading to a decline in the prevalence of obesity will also lower the highway death risk. Results suggest that obesity increases this death risk by contributing to more accidents. If so, measures that reduce obesity‐related unsafe driving behaviors (e.g. increased chance of falling asleep while driving) could save lives.Originality/valueThe paper adds to the research on the relationship between highway safety and obesity. The paper's unique contributions include estimating the linkage between obesity and motor vehicle deaths by regression analysis on US state‐level data for 2005 within a model that controls for economic conditions and other considerations such as driver and passenger characteristics, locational factors, government regulations, and weather conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.