Job Mobility and Early Career Wage Growth of White,African‐American,and Hispanic Women*

Objective. This article examines whether and how young women's job mobility influences racial and ethnic wage‐growth differentials during the first eight years after leaving school. Methods. We use the NLSY‐79 Work History File to simulate the influence of job mobility on the wages of skilled and unskilled workers. Results. African‐American and Hispanic women average less job mobility than white women, especially if they did not attend college. Unskilled women who experience frequent job changes during the first four postschool years reap positive wage returns, but turnover beyond the shopping period incurs wage penalties. Job mobility does not appear to boost wage growth for college‐educated women. Conclusions. Among unskilled women, race and ethnic wage disparities partly derive from group differences in the frequency of job changes, but unequal returns to job mobility drive the wage gaps for skilled women. We discuss several explanations for these disparities.     

Constrained allocation problems with single-peaked preferences: An axiomatic analysis

We introduce a new class of problems that contains two existing classes: allocation problems with single-peaked preferences and bankruptcy problems. On this class, we analyze the implications of well-known properties such as Pareto optimality, strategy-proofness, resource-monotonicity, no-envy, equal treatment of equals, and two new properties we introduce, hierarchical no-envy and independence of nonbinding constraints. Unlike earlier literature, we consider rules that allow free-disposability. We present characterizations of a rule we introduce on this domain. We relate this rule to well-known rules on the aforementioned subdomains. Based on this relation, we present a characterization of a well-known bankruptcy rule called the constrained equal awards rule. Received: 22 June 2000/Accepted: 21 March 2002 This paper is based on the first chapter of my Ph.D. thesis submitted to the University of Rochester. I wish to thank my advisor, William Thomson, for helpful comments and suggestions.     

Applicability of a Neuroprobabilistic Integral Risk Index for the Environmental Management of Polluted Areas: A Case Study

Recently, we developed a GIS-Integrated Integral Risk Index (IRI) to assess human health risks in areas with presence of environmental pollutants. Contaminants were previously ranked by applying a self-organizing map (SOM) to their characteristics of persistence, bioaccumulation, and toxicity in order to obtain the Hazard Index (HI). In the present study, the original IRI was substantially improved by allowing the entrance of probabilistic data. A neuroprobabilistic HI was developed by combining SOM and Monte Carlo analysis. In general terms, the deterministic and probabilistic HIs followed a similar pattern: polychlorinated biphenyls (PCBs) and light polycyclic aromatic hydrocarbons (PAHs) were the pollutants showing the highest and lowest values of HI, respectively. However, the bioaccumulation value of heavy metals notably increased after considering a probability density function to explain the bioaccumulation factor. To check its applicability, a case study was investigated. The probabilistic integral risk was calculated in the chemical/petrochemical industrial area of Tarragona (Catalonia, Spain), where an environmental program has been carried out since 2002. The risk change between 2002 and 2005 was evaluated on the basis of probabilistic data of the levels of various pollutants in soils. The results indicated that the risk of the chemicals under study did not follow a homogeneous tendency. However, the current levels of pollution do not mean a relevant source of health risks for the local population. Moreover, the neuroprobabilistic HI seems to be an adequate tool to be taken into account in risk assessment processes.     

Gendered Elements of the Alternative Agriculture Paradigm

Abstract The alternative agriculture paradigm has been a useful device to both define and direct a social movement toward a more sustainable agriculture. But because that paradigm was defined by male movement leaders, it reflects their gendered perspective and may be lacking elements that make it more useful for both women and men. In-depth interviews of women involved in sustainable farming organizations and on family farms experimenting with new practices validated the elements of the Beus and Dunlap paradigm: independence, decentralization, community, harmony with nature, diversity, and restraint, but also suggested the addition of two other elements that the women identified as part of an alternative agriculture vision: quality family life and spirituality. The highly gendered nature of agriculture in the V.S. and Canada, where male identity is highly conflated with the role of farmer in the conventional paradigm, may make it more difficult for men who have just joined the' movement to articulate the aspects of quality family life and spirituality which the women saw as critical.     

Book review

W.G.Cochran: Sampling Techniques, 3rd. Ed. John Wiley & Sons, New York-Santa Barbara-London-Sydney-Toronto 1977. 428 S., £ 12.50; $21.50.

H.Toutenburg: Vorhersage in linearen Modellen. Akademie-Verlag, Berlin 1975, VIII, 176b S., 3 Tab., 28,– M.

O.Kallenberg: Random Measure. Akademie-Verlag, Berlin 1975; Academic Press, London 1976. 104 pp., 28,– M.     

A new test for the extreme value distribution

In this paper a test statistic which is a modification of the W statistic for testing the goodness of fit for the two paremeter extreme value (smallest element) distribution is proposed. The test statistic Is obtained as the ratio of two linear estimates of the scale parameter. It Is shown that the suggested statistic is computationally simple and has good power properties. Percentage points of the statistic are obtained by performing Monte Carlo experiments. An example is given to illustrate the test procedure.     

Comparative Study of Generalized Estimating Equations and Logistic Regressions on Different Sample Sizes and Correlation Levels

In this study, it was aimed to determine accuracy of generalized estimating equations versus logistic regressions on different correlation levels and sample sizes. For this aim, two methods were compared with different sample sizes 10, 25, 50 and 100 and correlation levels 0.0, 0.3, 0.5 and 0.8. Result of this study showed that using generalized estimating equations could be preferred versus logistic regression when the sample size is over than 25 and correlation level is higher than 0.3 on data taken from studies with repeated measurements, but logistic regression could be better when the autocorrelations do not exist.     

Financial Intermediation Modernization in Countries with Transition Economy

During the modern phase of economic reforms directed at the establishment of market economy, many countries with transition economies face the challenge of solving the issue of formation and rational usage of internal sources of financing the real sector of the economy, as well as attracting considerable volume of direct foreign investment. In general, financial market imperfections hold back innovation and growth, and that public policy can complement financial markets. Therefore, the most relevant issue at the present time is the formation of attendant and complex supervision institutions, as well as an exigency of innovative economy governance as mainframe principles for further banking system elaboration and financial sector development in general. We have taken Armenia as a case study for transition economy as far as Armenia is currently in the stage of capital market development through integration into international financial markets.