A note on estimating regression coefficients with missing data

In this note, we consider the problem of estimating regression coefficients when there are missing observations of some explanatory variables. Following Dagenais (1973), Gourieroux and Monfort (1981), and Conniffe (1983a, 1983b), we assume auxiliary relationships exist among explanatory varibles. Several estimatprs and their interrelationships are discussed. We begin with the model of Gourieroux and

Monfort (1981)     

The value of planned death

In this paper we propose a theoretical model of evaluating the economic costs and benefits of physician assisted suicide (euthanasia). The contemplation of euthanasia is modeled akin to the valuation of a real option. Our modeling of the decision shows that euthanasia is optimal when certain conditions are satisfied. The findings in this paper suggest that if more money is spent on medical research (such as pain management), the demand for Euthanasia could be reduced.     

Robustness of partial least-squares method for estimating latent variable quality structures

Latent variable structural models and the partial least-squares (PLS) estimation procedure have found increased interest since being used in the context of customer satisfaction measurement. The well-known property that the estimates of the inner structure model are inconsistent implies biased estimates for finite sample sizes. A simplified version of the structural model that is used for the Swedish Customer Satisfaction Index (SCSI) system has been used to generate simulated data and to study the PLS algorithm in the presence of three inadequacies: (i) skew instead of symmetric distributions for manifest variables; (ii) multi-collinearity within blocks of manifest and between latent variables; and (iii) misspecification of the structural model (omission of regressors). The simulation results show that the PLS method is quite robust against these inadequacies. The bias that is caused by the inconsistency of PLS estimates is substantially increased only for extremely skewed distributions and for the erroneous omission of a highly relevant latent regressor variable. The estimated scores of the latent variables are always in very good agreement with the true values and seem to be unaffected by the inadequacies under investigation.     

Comparing VaR Approximation Methods that Use the First Four Moments as Inputs

This article compares four methods used to approximate value at risk (VaR) from the first four moments of a probability distribution: Cornish–Fisher, Edgeworth, Gram–Charlier, and Johnson distributions. Increasing rearrangements are applied to the first three methods. Simulation results suggest that for large sample situations, Johnson distributions yield the most accurate VaR approximation. For small sample situations with small tail probabilities, Johnson distributions yield the worst approximation. A particularly relevant case would be in banking applications for calculating the size of operational risk to cover certain loss types. For this case, the rearranged Gram–Charlier method is recommended.     

Biopolitics of hope and security: governing the future through US counterterrorism communications

This article probes the relationship between hope and security, looking at how hope is appropriated and used by the US security apparatus under President Obama to pre-empt radicalisation. It looks specifically at strategic narratives designed to infuse hope within the global Muslim population – identified in US security discourse as being particularly vulnerable to terrorist recruitment. While critical studies of security often articulate hope and security to be diametrically opposed concepts, this article shows that hope not only is an active and important part of contemporary technologies and logics of security, but also that hope can be productive of the insecurities, fear and exclusions that such politics often is assumed to entail. The use of hope within US counterterrorism communications further indicates that, rather than a subversive force, hope has come to legitimise some of the key facets of post 9/11 politics of security, namely the identification of human nature as a site of potential danger, the invocation of permanent intervention, the radical exclusion of the global Muslim population from political rights, and, not the least, the effective denial of our capacity to imagine another world, free from the insecurities of our political present.     

Quality of Life Measurement in the Field of Intellectual Disabilities: Eight Principles for Assessing Quality of Life-Related Personal Outcomes

As the concept of quality of life (QOL) has evolved from a theoretical concept to both a measurable construct and an action-oriented change agent in the field of intellectual disabilities, there has emerged a corresponding need to develop, implement, and use a systematic approach to the assessment of domain-referenced quality of life outcomes. The purpose of this article is to suggest eight principles based on published literature and the authors’ experiences that should underlie the assessment of QOL-related personal outcomes in the field of intellectual disabilities. Data from the development of the personal outcomes scale are used to exemplify each principle. The article’s premise is that model development and test construction should work in tandem, and that a ‘quality of life assessment instrument’ should be based on an empirically derived QOL conceptual and measurement framework/model.     

Inference for cluster point processes with over- or under-dispersed cluster sizes

Cluster point processes comprise a class of models that have been used for a wide range of applications. While several models have been studied for the probability density function of the offspring displacements and the parent point process, there are few examples of non-Poisson distributed cluster sizes. In this paper, we introduce a generalization of the Thomas process, which allows for the cluster sizes to have a variance that is greater or less than the expected value. We refer to this as the cluster sizes being over- and under-dispersed, respectively. To fit the model, we introduce minimum contrast methods and a Bayesian MCMC algorithm. These are evaluated in a simulation study. It is found that using the Bayesian MCMC method, we are in most cases able to detect over- and under-dispersion in the cluster sizes. We use the MCMC method to fit the model to nerve fiber data, and contrast the results to those of a fitted Thomas process.

     

Ergonomic evaluation of novel tool for snap-off the neck of ampoule

Needlestick and Sharps Injuries (NSI) represent an important workplace issue in contemporary health care. Present study provided the new method to snap-off the neck of sealed ampoule. The idea of novel opener tool is prepare the grinding slice inside rubber ring, so users could put the ampoule inside the rubber ring and then rotated the rubber ring to snap-off the neck of ampoule. The purpose of present study was evaluated the methods of snap-off and sizes of ampoule on forearm muscle activities, wrist postures and performance. The pronator teres muscle were heavier load as increased the sizes of ampoule. For performance analysis, Duncan's multiple range tests indicated that time of snap-off were longer in 10 ml and 20 ml of ampoule. The EMG of pronator teres muscle was significantly affected by methods of snap-off. Duncan's multiple range tests indicated that lower load was experienced on forearm muscles while using grinding slice with glove. For wrist posture, the ranges of motion for wrist were significant lower while using the novel tool. Present study provided the novel tool effectively to snap-off the ampoule to decrease forearm workload and sharp injuries.     

A SNP,Gene, and Polygenic Risk Score Approach of Oxytocin‐Vasopressin Genes in Adolescents’ Loneliness

Not much is known regarding underlying biological pathways to adolescents’ loneliness. Insight in underlying molecular mechanisms could inform intervention efforts aimed at reducing loneliness. Using latent growth curve modeling, baseline levels and development of loneliness were studied in two longitudinal adolescent samples. Genes (OXTR, OXT, AVPR1A, AVPR1B) were examined using SNP‐based, gene‐based, and polygenic risk score (PRS) approaches. In both samples, SNP‐ and gene‐based tests showed involvement of the OXTR gene in development of loneliness, though, significance levels did not survive correction for multiple testing. The PRS approach provided no evidence for relations with loneliness. We recommend alternative phenotyping methods, including environmental factors, to consider epigenetic studies, and to examine possible endophenotypes in relation to adolescents’ loneliness.