Youth at a Leftist and Rightist Political Rally: Reasons for Participating

Abstract

This paper investigates the degree of uniqueness of the contribution of youth to an anti-war rally of 1970. It contrasts that contribution to the part played by youth at a pro-war rally of the same year. Both rallies took place near the Washington Monument in Washington, D. C. Data collection consisted of on-the-spot interviews of a sample of participants at both rallies. The focus of the interview was on reasons expressed by participants for their attendance at the rally. The data support the following hypotheses: that youth at the anti-war rally were more highly oriented towards specific objectives and general objectives than were older participants at that rally or youthful ones at the pro-war rally; that youth at the anti-war rally were less highly oriented towards personal reasons than older participants at that rally or younger ones at the pro-war rally. Generally reasons for participating were found to be influenced by the interaction of age cohort and ideological thrust of the rally. The importance of belonging to the modal age group for a particular rally was discussed, along with other implications such as the role of generational conflict during the late 1960s and early 1970s.     

Gender Differences in Self-Regulation Patterns and Attitudes Toward Driving Among Older Adults

ABSTRACT

The automobile is essential for many older adults to fulfill their daily needs, especially since many live where they lack access to public transit or other acceptable modes of transportation. Increased self-regulation is one way older drivers continue to drive safely and maintain mobility. This research considers whether self-regulation attitudes and patterns differ by gender. Results indicate that women and men report distinct patterns of self-regulation behaviors. Age, health status, and household status also interact with gender, influencing the extent of self-regulation. The results also show that women report lower levels of confidence in their driving skills than men, although the difference varies based on whether or not a woman lives alone. Implications of these results are considered for an aging population—particularly women—that over the coming decades will be more reliant on the automobile for transportation than ever before.     

Deterministic transformations of random variables and the comparative statics of risk

In this article, a general class of deterministic transformations that can be interpreted as changes in risk are identified. This provides a fourth characterization of a Rothschild-Stiglitz increase in risk. In addition, a particular subclass of these transformations, termed simple transformations, is shown to be well suited for comparative static analyses. This subclass contains as a special case the linear transformation used so often in the literature. A theorem is presented that generalizes the known comparative static results for large as well as small changes in risk.     

Asymptotic Tail Properties of Student's t-Distribution

We investigate the asymptotic behavior of the probability density function (pdf) and the cumulative distribution function (cdf) of Student's t-distribution with ν > 0 degrees of freedom (t _ν for short) for ν tending to infinity when the argument x = x _ν of the pdf (cdf) depends on ν and tends to ± ∞ (?∞). To this end, we consider the ratio of the pdf's (cdf's) of the t _ν- and the standard normal distribution. Depending on the choice of the argument x _ν, the pdf-ratio (cdf-ratio) tends to 1, a fixed value greater than 1, or to ∞. As a byproduct, we obtain a result for Mill' ratio when x _ν → ?∞.     

Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison

In this paper we show that fully likelihood-based estimation and comparison of multivariate stochastic volatility (SV) models can be easily performed via a freely available Bayesian software called WinBUGS. Moreover, we introduce to the literature several new specifications that are natural extensions to certain existing models, one of which allows for time-varying correlation coefficients. Ideas are illustrated by fitting, to a bivariate time series data of weekly exchange rates, nine multivariate SV models, including the specifications with Granger causality in volatility, time-varying correlations, heavy-tailed error distributions, additive factor structure, and multiplicative factor structure. Empirical results suggest that the best specifications are those that allow for time-varying correlation coefficients.