On generalized conditional cumulative residual inaccuracy measure

Abstract

Recently, the notion of cumulative residual Rényi’s entropy has been proposed in the literature as a measure of information that parallels Rényi’s entropy. Motivated by this, here we introduce a generalized measure of it, namely cumulative residual inaccuracy of order α. We study the proposed measure for conditionally specified models of two components having possibly different ages called generalized conditional cumulative residual inaccuracy measure. Several properties of generalized conditional cumulative residual inaccuracy measure including the effect of monotone transformation are investigated. Further, we provide some bounds on using the usual stochastic order and characterize some bivariate distributions using the concept of conditional proportional hazard rate model.     

Envisioning emerging nanotechnologies: a three-year panel study of South Carolina citizens

This article reports results from a three-year panel study of a nonrandom sample of 76 South Carolina citizens, recruited from a variety of walks of life, and their impressions of emerging nanotechnology. This discussion focuses on material from depth interviews conducted alongside a baseline opinion and awareness inventory at the beginning of the study, the most intensive data-gathering phase. These results are placed in the context of data from three additional surveys conducted at about equal intervals over the three years, plus exit interviews from 21 of the 34 individuals who completed the entire study. The results give insight into popular thinking about technology but little indication of strong emerging concerns, a trajectory of amplification of those concerns, or opinion polarization over time, despite some awareness of risks and potential ethical dimensions. Nanotechnology may stand out more as an example of risk attenuation than of risk amplification, consistent with most results from national surveys.     

Identification and Inference in Ascending Auctions With Correlated Private Values

We introduce and apply a new nonparametric approach to identification and inference on data from ascending auctions. We exploit variation in the number of bidders across auctions to nonparametrically identify useful bounds on seller profit and bidder surplus using a general model of correlated private values that nests the standard independent private values (IPV) model. We also translate our identified bounds into closed form and asymptotically valid confidence intervals for several economic measures of interest. Applying our methods to much studied U.S. Forest Service timber auctions, we find evidence of correlation among values after controlling for a rich vector of relevant auction covariates; this correlation causes expected profit, the profit‐maximizing reserve price, and bidder surplus to be substantially lower than conventional (IPV) analysis of the data would suggest.     

Overcoming barriers to access and utilization of hospice and palliative care services in African-American communities

While there is ample evidence to support the need for hospice and palliative care services for African Americans, only 8% of patients who utilize those services are from African-American communities. The underutilization of end-of-life and palliative care can be attributed to several barriers to service access including incompatibility between hospice philosophy and African-American religious, spiritual, and cultural beliefs; health care disparities; distrust of the medical establishment; physician influence; financial disincentives, and hospice admission criteria. Suggestions for dismantling barriers to care access include developing culturally competent professionals in the health and human services, expanding the philosophy of hospice to include spiritual advisors from client communities, and funding national initiatives to promote improved access to health care at all stages in the life cycle of members of all underserved communities.     

Identity,Belonging and Intentions to Leave of First and 1.5 Generation FSU Immigrants in Israel

Recent studies examining immigrant intentions to leave the host country have focused on return migration to the origin country (De Haas and Fokkema in Demogr Res 25:755–782, 2011; De Haas et al. in J Int Migr Integr 16(2):415–429, 2015). The current study examines immigrant intentions to leave the host country, but not necessarily to return to the homeland. The predictive model, which focuses on immigrant subjective identity, was tested through a survey of 338 first and 1.5 generation Former Soviet Union (FSU) immigrants in Israel, who applied to a prominent NGO to obtain proof of their Jewishness. These individuals are from the largest recent immigrant group in Israel, and are highly represented among the young adult (aged 25–40) immigrants leaving Israel. The findings indicate that contrary to our expectations, Israeli local identity did not have a significant effect on the immigrants’ intentions to leave Israel. By contrast, Jewish identity and level of religiosity did play a significant role in attenuating the immigrant’s tendency to leave. This paper highlights the complex relationship between ethnic identities and religiosity among immigrants in general, and in Israel in particular.     

The Subjective Well-Being of Immigrants Aged 50 and Older in Israel

The present study evaluated the integration of elderly people who migrated to Israel during their lifetimes. Subjective well-being, as measured by the immigrants’ perception of quality of life, satisfaction with life and emotional state, served as a general indicator of integration. The integration of elderly immigrants has not received adequate attention in the literature. A unique database (SHARE-Israel) that was recently released has made study of this topic possible. The current study sample was composed of former migrants aged 50 and older (n = 930). The analytic model examined ethnic origin and migration variables in relation to the respective subjective outcomes, controlling for sociodemographic background, human and social capital and health. The findings show that in general, ethnic origin seems to matter less for the evaluation of immigrants’ subjective well-being than other socio economic factors such as economic status, social capital and health status. However, recent arrivals from the Former Soviet Union do differ from all other immigrant groups in their lower levels of well-being. In addition, the study points to the importance of language proficiency as a central means for integration in the destination country.     

Immigrants’ Sense of Belonging to the Host Country: The Role of Life Satisfaction,Language Proficiency,and Religious Motives

This paper focuses on a significant concept in migration studies: immigrants’ sense of belonging to the host society. Drawing upon the literature of immigration and subjective well-being, we proposed a model in which life satisfaction is a major predictor of immigrants’ sense of belonging, and is explained by background variables including religious affiliation, religious motivation, native language proficiency and ethnic segregation. The study was based on a survey of two groups of highly skilled migrants in Israel; immigrants from France and the Former Soviet Union who moved to Israel in the last two decades. The findings suggest that, as expected, life satisfaction had a significant influence on immigrants’ sense of belonging and served as a mediator variable in the model. Whereas ethnic segregation was not found to be a significant parameter in the model, religious motivation and Hebrew language proficiency were found to be prominent. In light of the literature, we also discuss the importance of religious motivations to immigrants’ subjective well-being, identity, and sense of belonging.

     

Workplace discrimination and missing limbs: the national EEOC ADA research project

Using the Integrated Mission System of the Equal Employment Opportunity Commission, the employment discrimination experience of Americans with missing limbs is documented. Researchers compare and contrast the key dimensions of workplace discrimination involving Americans with missing limbs and persons with back and other non-paralytic orthopedic impairments. Specifically, the researchers examine demographic characteristics of the charging parties; the industry designation, location, and size of employers against whom complaints are filed; the nature of discrimination (i.e., type of adverse action) alleged to occur; and the legal outcome or resolution of these complaints. Findings indicate that persons with missing limbs were more likely to encounter discrimination if they were male, under 20 or over 65 years of age, and White or Native American. They were also more likely to encounter more frequent discrimination when they worked for employers in the Southern United States, those with 200 or fewer employers, or whose industry designation involved manufacturing, construction, or transportation. Finally, the nature of job discrimination experienced by Americans with missing limbs is more likely to involve hiring, promotion, or job training than other issues. Implications for policy and advocacy are addressed.