Bivariate Birnbaum-Saunders accelerated lifetime model: estimation and diagnostic analysis

In this paper, we discuss the bivariate Birnbaum-Saunders accelerated lifetime model, in which we have modeled the dependence structure of bivariate survival data through the use of frailty models. Specifically, we propose the bivariate model Birnbaum-Saunders with the following frailty distributions: gamma, positive stable and logarithmic series. We present a study of inference and diagnostic analysis for the proposed model, more concisely, are proposed a diagnostic analysis based in local influence and residual analysis to assess the fit model, as well as, to detect influential observations. In this regard, we derived the normal curvatures of local influence under different perturbation schemes and we performed some simulation studies for assessing the potential of residuals to detect misspecification in the systematic component, the presence in the stochastic component of the model and to detect outliers. Finally, we apply the methodology studied to real data set from recurrence in times of infections of 38 kidney patients using a portable dialysis machine, we analyzed these data considering independence within the pairs and using the bivariate Birnbaum-Saunders accelerated lifetime model, so that we could make a comparison and verify the importance of modeling dependence within the times of infection associated with the same patient.     

Managers' personal values as predictors of importance attached to training and development: a cross-country exploratory study

Few empirical studies have examined the effect of personal values on the importance attached by individuals to training and development in organizations. We argue that personal values play an important role in decision-making processes (i.e. commitment to training and development) and that such values are the product of socialization processes operating at an organizational and societal level. Questionnaire data were collected from 340 Irish and Canadian line managers to test the hypothesis that personal values affect the importance attached by respondents to training and development. Capability values were found to be a significant positive predictor of the perceived importance of training and development. The findings emphasize the need for simultaneously examining both personal values and organizational factors as predictors of training and development activity.     

OECD: One or Many? Ranking Countries with a Composite Well-Being Indicator

In the social sciences it is hardly contested that “institutions matter”. Consequently the analysis of differences and similarities of institutions should be a routine task. Prevailing methods to the measurement of institutions are however problematic, in particular when they have to deal with different levels of measurement. To overcome this, in this paper we present an innovative method to the quantification of qualitative institutional data. We do this by, first, developing benchmarks for comparison based on Weberian ideal types. Then we identify and operationalise the dimensions and indicators to a nuanced measurement of institutions, after which we apply a careful and differentiated scoring, weighting and aggregation procedure in order to guarantee the highest standards of comparability, transparency and reliability of the method. Finally, we demonstrate our method by applying it to the analysis of institutional individualisation in European welfare institutions.     

After a Disaster: Lessons in Survey Methodology from Hurricane Katrina

In 2005, the National Science Foundation funded a number of projects to study the impact of Hurricane Katrina. The current article provides an overview of several research approaches used to conduct post-Katrina research. Each method had some advantages and disadvantages. The post-disaster context meant that experience from traditional survey methods often did not apply. Comparisons of advantages and disadvantages associated with each sampling method serve to inform future post-disaster research and illuminate the limits of classical research methods.     

Labor Force Transitions after Childbirth Among Five Birth Cohorts in Sweden

This article describes part-time work in Sweden and performs a multivariate analysis of the choice between part-time work, full-time work, and other activities in connection with childbirth among five birth cohorts of women. Results show that the combination of market work and family is common, but heterogeneity exists among women in the sample analyzed. Previous labor force participation proves important when it comes to returning to the labor market. The extent of previous labor force participation is also important, regardless of sector of, when it comes to the return to part-time or full-time work. Career orientation and social background also prove significant, some indicators probably working indirectly through higher education and different preferences.     

English perceptions of elder abuse

The purpose of this exploratory study was to investigate an English sample's perceptions on elder abuse, inflicted by adult children against their aging parents. Fifty participants (14 males, 46 females) provided examples of extreme, moderate, and mild elder abuse. As examples of extreme abuse, most participants mentioned neglect and physical aggression. Various forms of neglect and psychological abuse were their most common examples of moderate and mild abuse. References to physical aggression appeared most often as examples of extreme abuse rather than of moderate or mild abuse. Within these main categories, the specific subtypes most frequently mentioned by the sample included physical neglect, psychological neglect, verbal abuse, and deprivation. More females than males provided examples of financial abuse and physical neglect. Females were also more likely than males to list psychological neglect as an extreme form of abuse and disrespect as a form of mild abuse. At the moderate level, males referred to abuse relating to power more often than females. A positive relationship was found between age and the number of examples of physical neglect given at the moderate level and the number of examples of emotional abuse given at the mild level.     

A Comparison of Bayes Factors for Separated Models: Some Simulation Results

Some alternative Bayes Factors: Intrinsic, Posterior, and Fractional have been proposed to overcome the difficulties presented when prior information is weak and improper prior are used. Additional difficulties also appear when the models are separated or non nested. This article presents both simulation results and some illustrative examples analysis comparing these alternative Bayes factors to discriminate among the Lognormal, the Weibull, the Gamma, and the Exponential distributions. Simulation results are obtained for different sample sizes generated from the distributions. Results from simulations indicates that these alternative Bayes factors are useful for comparing non nested models. The simulations also show some similar behavior and that when both models are true they choose the simplest model. Some illustrative example are also presented.     

Special issue on “The role of intellectual capital and integrated reporting in management and governance: a performative perspective”

Journal of Management and Governance -