Government Risk Management Priorities: A Comparison of the Preferences of Asian Indian Americans and Other Americans

A survey was conducted of approximately 200 Asian Indian Americans and 200 other residents of New Jersey in order to understand the risk management priorities that they want government to have. We found that Asian Indian Americans, especially younger women, focused on personal/family risks, such as alcohol and drug abuse, sexual abuse, and domestic violence. The New Jersey comparison group, in contrast, placed war/terrorism and loss of health care services and insurance at the top of their priorities for government. These results suggest stressful acculturation-related issues within the Asian Indian community. Both populations want more risk management from government than they believe government is currently providing. Respondents who wanted more from government tended to dread the risk, be fearful of the consequences, trust government, and have a feeling of personal efficacy. Within the Asian Indian American sample, wide variations were observed by language spoken at home and religious affiliation. Notably, Muslims and Hindi language speakers tended not to trust government and hence wanted less government involvement. This study supports our call for studies of recent migrant populations and Johnson's for testing ethnic identity and acculturation as factors in risk judgments.     

Empirical Bayes estimation in finite population sampling under functional measurement error models

The paper considers simultaneous estimation of finite population means for several strata. A model-based approach is taken, where the covariates in the super-population model are subject to measurement errors. Empirical Bayes (EB) estimators of the strata means are developed and an asymptotic expression for the MSE of the EB estimators is provided. It is shown that the proposed EB estimators are “first order optimal” in the sense of Robbins [1956. An empirical Bayes approach to statistics. In: Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, University of California Press, Berkeley, pp. 157–164], while the regular EB estimators which ignore the measurement error are not.     

Missing millions: undercounting urbanization in India

Population and Environment - The measurement and characterization of urbanization crucially depends upon defining what counts as urban. The government of India estimates that only 31% of the...     

‘Dirty Work?’ Gender,Race and the Union in Industrial Cleaning

The study uses an eclectic framework and through an intersectional analysis and use of narratives explores the meaning of janitorial work, the gender division of labour (GDL), the unions and organizing for janitors engaged in industrial cleaning for a big cleaning company, Pluto, in Toronto. Pluto was organized by the Service Employees International Union (SEIU) in 2006. The study is based on the organizing drive for Pluto and uses participant observation and interview methods. Intersectional analysis is useful in understanding the worker's perceptions of the racialized, gendered and classed constitution of cleaning work as ‘dirty’ and their resistance to these constructs. We explore GDL in industrial cleaning and the construction of women's work as ‘light duty’ and men's work as ‘heavy duty’. We conclude that union membership is important not only for material benefits of the janitors but also for their alternative identity construction. However, there is a persistence of GDL and gender pay equity is not addressed seriously in the organizing drive or upon organizing.     

On a characterization of the dispersion matrix based on the properties of regression

This paper provides a partial solution to a problem posed by J. Neyman (1965) regarding the characterization of multivariate negative binomial distribution based on the properties of regression. It is shown that some of the properties of regression characterize the form of the nonsingular dispersion matrix of the parent distribution, which, interestingly enough, corresponds to only two types viz. those of positive and negative multivariate binomial distributions.     

Finding the Delicate Balance: Serials Assessment at the University of Nevada,Las Vegas

Abstract

In the spring of 2003 the University Libraries at University of Nevada, Las Vegas (UNLV), conducted a Serials Assessment Project which combined technology with effective communication between library users and subject librarians to successfully identify journals that could be cancelled, should cancellations be necessary due to budgetary constraints. Although the library had conducted similar assessments in 1998 and 2000, a fresh look at past assessments resulted in an innovative approach. The project and experience proved to be tremendously positive for both the library and its users. This article describes the planning and process by which the UNLV libraries designed and conducted the 2003 review of UNLV's serials collection, comparing it to methods used in the two previous assessments.     

On the equivalence of two approaches to simplicity in the analysis of block designs and some related results

Two seemingly different approaches to simplicity in the analysis of connected block designs, and their relationship to the concepts of balance are discussed.     

Work Design and Integration Glitches in Globally Distributed Technology Projects

In a technology project, project integration represents the pooling together of complete, interdependent task modules to form a physical product or software delivering a desired functionality. This study develops and tests a conceptual framework that examines the interrelationships between the elements of work design, project integration challenges, and project performance. We identify two distinct elements of work design in technology projects: (i) the type of project organization based on whether a technology project spans a firm boundary (Domestic‐Outsourcing) or a country boundary (Offshore‐Insourcing) or both boundaries (Offshore‐Outsourcing) or no boundaries (Domestic‐Insourcing), and (ii) the joint coordination practices among key stakeholders in a technology project—namely, Onsite Ratio and Joint‐Task Ownership. Next, we measure the effectiveness of project integration using integration glitches that capture the incompatibility among interdependent task modules during project integration. Based on analysis of data from 830 technology projects, the results highlight the differential effects of distributed project organizations on integration glitches. Specifically, we find that project organizations that span both firm and country boundaries (Offshore‐Outsourcing) experience significantly higher levels of integration glitches compared to domestic project organizations (Domestic‐Outsourcing and Domestic‐Insourcing). The results further indicate that the relationship between project organization type and integration glitches is moderated by the extent of joint coordination practices in a project. That is, managers can actively lower integration glitches by increasing the levels of onsite ratio and by promoting higher levels of joint‐task ownership, particularly in project organization types that span both firm and country boundaries (Offshore‐Outsourcing). Finally, the results demonstrate the practical significance of studying integration glitches by highlighting its significant negative effect on project performance.     

Optimum mixture designs in a restricted region

In a mixture experiment, the response depends on the proportions of the mixing components. Canonical models of different degrees and also other models have been suggested to represent the mean response. Optimum designs for estimation of the parameters of the models have been investigated by different authors. In most cases, the optimum design includes the vertex points of the simplex as support points of the design, which are not mixture combinations in the true non-trivial sense. In this paper, optimum designs have been obtained when the experimental region is an ellipsoidal subspace of the entire factor space which does not cover the vertex points of the simplex.