Nonstandard Employment in the Nonmetropolitan United States*

Abstract We examine the prevalence of nonstandard employment in the nonmetropolitan United States using the Current Population Survey Supplement on Contingent Work (1999 and 2001). We find that nonstandard work is more prevalent in nonmetropolitan than in central city or suburban areas. Logistic regression models controlling for sociode‐mographic and work characteristics, show that nonmetropolitan workers experience higher odds of nonstandard employment than central city or suburban workers. Variations in industrial and occupational structures in nonmetro and metro areas do not explain residential differences in nonstandard work. We also estimate the odds of employment in each of the three components of nonstandard work: contingent work, part‐time, and varied hour work. Nonmetropolitan workers are more likely than central city and suburban workers to be employed in contingent or varied hour work. The benefits and wages of nonstandard work are lower than for standard work across residence areas. The results highlight the importance of understanding nonstandard work and the components of nonstandard work, particularly when considering the nature of work across industries, occupations, and residence.     

POLITICAL ECONOMY AND THE SOCIAL MARGINAL COST OF PUBLIC FUNDS: THE CASE OF THE MELTZER‐RICHARD ECONOMY

In previous studies on the social marginal cost of public funds (SMCF), the existing tax system has been assumed to be either arbitrary or optimal. This note explores another possibility: the existing tax system itself represents a political equilibrium. Our exploration proceeds in Meltzer and Richard’s (1981) political economy of redistributive taxation. An interesting feature of our finding is that the degree of income inequality as measured by the ratio of mean to median income can play an important role in estimating the SMCF and judging whether the level of redistribution is excessive or inadequate. (JEL D61, D72, H21)     

Career Counseling in a Volatile Job Market: Tiedeman's Perspective Revisited

This article explores implications of Tiedeman's original theory for career counselors. Some components of the theory seem to be compatible with existing volatile job market conditions. Notions of career path recycling, development in reverse, nonlinear progress, and parallel streams in career development are explored. Suggestions are made for counseling interventions and future research using this perspective.     

The allocation of time to social and leisure activities as social indicators for the integration of aged ethnic minorities

One way in which a better understanding of social indicators to be employed in assessing the degree of social integration of aged ethnic minorities is to determine their time-use patterns for various daily activities. This paper reports on a research project undertaken in a planned community of La Villeneuve, France, which examines (a) the social context in which various activities took place, and (b) the duration and frequency of the activities. This was achieved through the combined techniques of time-budget analysis, social network mapping, and participant observations. Our data provides another dimension appropriate for social indicators research.     

Effects on students of teacher training in use of a drug education curriculum

The study reported here examines the effects of differential teacher training in use of a drug education curriculum on students' knowledge levels, problem-solving and coping skills, attitudes towards planned decision making, behavioral intentions and tobacco and alcohol use. An experimental design was used to compare the effects of exposure to teachers who had either intensive staff development, in-service training or no training. The findings indicate a statistically significant difference between groups of students on the intention to drink alcohol. Students whose teachers had intensive staff development were less likely to intend to take a drink if offered than students whose teachers had in-service or no training. Possible reasons for a lack of significant results on other variables are the confounding influences of school, classroom and teacher effects.     

UNBIASED ESTIMATION OF PARAMETRIC FUNCTIONS IN SAMPLING FROM TWO ONE-TRUNCATION PARAMETER FAMILIES

We consider the problem of minimum variance unbiased estimation of a U-estimable function of two unknown truncation parameters based on independent random samples from two one-truncation parameter families. In particular, we obtain the UMVU estimator of the probability that Y > X.     

Supersaturated design including an orthogonal base

Recently, many supersaturated designs have been proposed. A supersaturated design is a fractional factorial design in which the number of factors is greater than the number of experimental runs. The main thrust of the previous studies has been to generate more columns while avoiding large values of squared inner products among all design columns. These designs would be appropriate if the probability for each factor being active is uniformly distributed. When factors can be partitioned into two groups, namely, with high and low probabilities of each factor being active, it is desirable to maintain orthogonality among columns to be assigned to the factors in the high-probability group. We discuss a supersaturated design including an orthogonal base which is suitable for this common situation. Mathematical results on the existence of the supersaturated designs are shown, and the construction of supersaturated designs is presented. We next discuss some properties of the proposed supersaturated designs based on the squared inner products.     

A tolerance interval approach for assessment of agreement in method comparison studies with repeated measurements

This paper generalizes the tolerance interval approach for assessing agreement between two methods of continuous measurement for repeated measurement data—a common scenario in applications. The repeated measurements may be longitudinal or they may be replicates of the same underlying measurement. Our approach is to first model the data using a mixed model and then construct a relevant asymptotic tolerance interval (or band) for the distribution of appropriately defined differences. We present the methodology in the general context of a mixed model that can incorporate covariates, heteroscedasticity and serial correlation in the errors. Simulation for the no-covariate case shows good small-sample performance of the proposed methodology. For the longitudinal data, we also describe an extension for the case when the observed time profiles are modelled nonparametrically through penalized splines. Two real data applications are presented.