Sources of growth and cyclical stability for Nevada counties: Transfer payments and property income

The growing relative number, the improved economic well-being, and the migration of elderly retirees is not only reshaping the social and economic structure of many areas, it is also modifying both long-term and short-run patterns of economic growth. Transfer payments and property incomes, two of the most important source of elderly income, have been among the leading sources of national income growth over the past several decades. Unlike most labor-related industry sources of earnings, the level of transfer payments and property incomes received by the residents of the region is not directly dependent upon local economic activity. Consequently, as transfer payments and property incomes of elderly retirees become increasingly important sources of income and purchasing power within a region, they also can alter regional short-run cyclical patterns of income growth. This article examines the pattern of growth of transfer payments and property incomes in the context of national economic cycles, and explores the implication of those findings on metropolitan and nonmetropolitan Nevada economies.     

Carbon dioxide emissions and economic growth: A structural approach

This paper uses data for 44 countries from 1970-1990, to investigate the relationship between economic growth and carbon dioxide emissions. Empirical results are obtained from a structural model from the empirical growth literature modified to include environmental 'bads'. Results suggest that richer countries exhibit technical progress in a way that economizes on carbon dioxide emissions but that poorer countries do not. Furthermore, there is no indication that the growth process is leading poorer countries to move towards the adoption of the same pollution-ameliorating technology as characterizes richer countries.     

Examples of the use of an equivalence theorem in constructing optimum experimental designs for random-effects nonlinear regression models

The problem considered is that of finding an optimum measurement schedule to estimate population parameters in a nonlinear model when the patient effects are random. The paper presents examples of the use of sensitivity functions, derived from the General Equivalence Theorem for D-optimality, in the construction of optimum population designs for such schedules. With independent observations, the theorem applies to the potential inclusion of a single observation. However, in population designs the observations are correlated and the theorem applies to the inclusion of an additional measurement schedule. In one example, three groups of patients of differing size are subject to distinct schedules. Numerical, as opposed to analytical, calculation of the sensitivity function is advocated. The required covariances of the observations are found by simulation.     

Deterrence, expected cost, uncertainty and voting: Experimental evidence

We conduct laboratory experiments to investigate the effects of deterrence mechanisms under controlled conditions. The effect of the expected cost of punishment of an individual’s decision to engage in a proscribed activity and the effect of uncertainty on an individual’s decision to commit a violation are very difficult to isolate in field data. We use a roadway speeding framing and find that (a) individuals respond considerably to increases in the expected cost of speeding, (b) uncertainty about the enforcement regime yields a significant reduction in violations committed, and (c) people are much more likely to speed when the punishment regime for which they voted is implemented. Our results have important implications for a behavioral theory of deterrence under uncertainty.     

Acculturation and Risk Behavior among Pregnant Mexican American Females: A Structural Equation Model

The purpose of this study was to test a theoretical model designed to predict risk behavior (i.e., cigarette and/or alcohol use) in a sample of Mexican American females who were pregnant and ranged in age from adolescence to early adulthood. The model consisted of six hypothesized predictors–acculturation status, intergenerational family conflict, acculturative stress, educational attainment, household income, and age of respondent, which were proposed as antecedents of risk behavior. Structural equation modeling was used to test both the direct and indirect effects for a set of proposed antecedents to the tendency for Mexican American females to engage in risk behaviors. Several of the hypothesized relationships were supported, with the strongest predictors of risk behavior being acculturation status, intergenerational family conflict, and acculturative stress. An important conclusion was that risk behavior by Mexican American females increased as they became more acculturated to the social circumstances of the U.S. Another notable result was that risk behavior increased among Mexican American females as they experienced higher levels of intergenerational conflict within their families.