Influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

In this paper, we propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest follows the Negative Binomial distribution and the time to event follows a Weibull distribution. Indeed, we introduce the Weibull-Negative-Binomial (WNB) distribution, which can be used in order to model survival data when the hazard rate function is increasing, decreasing and some non-monotonous shaped. Another advantage of the proposed model is that it has some distributions commonly used in lifetime analysis as particular cases. Moreover, the proposed model includes as special cases some of the well-know cure rate models discussed in the literature. We consider a frequentist analysis for parameter estimation of a WNB model with cure rate. Then, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and present some ways to perform global influence analysis. Finally, the methodology is illustrated on a medical data.     

Dynamic Updating of Labour Force Estimates: JARES

Abstract. In this paper a new algorithm is proposed in order to produce an automatic dynamic compound estimator of the labour force based on an interactive scheme. The proposed algorithm, JARES, is based on the probability estimator of Jaynes based on the notion of maximum entropy of a given probability distribution with a constraint on the average of an external information. The iterative scheme is based on the solution of a set of linear equations which represent the algebraic relationships between the weights and the estimates.     

Occupational preferences and the quality of life

This paper focuses on the theoretical and empirical aspects of occupational choice by examining the structure of individual preferences expressed in terms of abstract characteristics. Both verbal and quantitative models were successfully tested, and a rough upper limit was set on the ability of individuals to specify their quality-of-life technology. The study was too restrictive to permit general inferences concerning the quality of life of particular occupations. However, it may be concluded from the limited empirical findings that the qualitative model captured career-living preferences almost as consistently as did the highly structured quantitative approach. The experiments extracted subjects' cognitive structures for career-living stiuations in all the richness and generality permitted by verbal expression. Although more costly to determine, such qualitative information is of considerable potential benefit to policy makers, ect., and equivalent knowledge cannot be obtained from numerical representations.     

Societal Gender Inequality as Moderator of the Relationship Between Work–Life Fit and Subjective Well-Being: A Multilevel Analysis Across European Countries

Social Indicators Research - Social well-being of person who works in social services as well as hospital staff has a large effect on care quality and organizational efficiency. The aim of this...     

The Effects of Technical Change on Skill Requirements: An Empirical Analysis

Abstract. This essay offers an empirical analysis of the effects of technical change on skill. Firstly, with the increasing diffusion of more and more mechanization and, in this decade, with the advent of microelectronics, this theme has been widely debated both in theory and in empirical analyses. These latter are usually based on a measurement of skill in terms of the parameters adopted in the job evaluation. My critique to that approach is both on the job evaluation criteria adopted, and on the unclear distinction between quantitative and qualitative effects of technical change on labour requirements. The following analysis will show the importance of that distinction in interpreting data. The case study is the production of ceramic tiles in Italy. The analysis is articulated in three parts. The first discusses an indicator of technical level of ceramic tile production. This indicator refers to the ‘scale of mechanization’ proposed by Bright in 1958. The oldest and the most up-to-date techniques in use in the early 1980's are compared with regard both to the level of mechanization and to the number of workers required at each task at factory level. This analysis is the premiss for the distinction between quantitative and qualitative effects of technical change. This—together with the discussion of a measurement of skill based on job content—is examined in the second part. The conclusion of the case study and a critical analysis of the main contributions on this topic are in the third part.     

Small-area estimation in the presence of area-level correlated responses

The Fay-Herriot area-level model for correlated response data is augmented with a between-groups-of-domains effect. Correlated-response parameters of small-area estimates no longer need the assumption of spatial contiguity. A simulation shows that area-level correlated-response observations increase the efficiency of the estimates, but do not reduce the biases.