A Multivariate Indicator to Compute Middle Class Population

Social Indicators Research - Monitoring progress towards the Sustainable Development Goals by 2030 requires the global community to disaggregate targets along socio-economic lines, but little has...     

Inequality Assessment by Probabilistic Development Indices

Social Indicators Research - This paper analyses the Human Development Index (HDI) time series from 2010 to 2017. An alternative index is studied, which combines the same components of the HDI by...     

Organizational innovativeness and coopetition: a study of video game developers

Collaboration with rivals is viewed as a way to achieve superior performance of firms in terms of innovation output. Yet empirical results show that coopetition may either foster, hamper or be neutral to innovation. The motivation of our study resides in firms’ heterogeneity in terms of their innovative capacity, that is innovativeness, in order to better understand the complex relationship between coopetition and innovation. We explore the interdependency between organizational innovativeness and coopetition. Our study has been conducted in the Polish video game industry. The data has been collected through a survey administered to all 506 identified Polish video game developers, with an effective sample of 84 coopetitors. We run correlation and regression analyses in a multidimensional approach to organizational innovativeness and coopetition. Our findings show that coopetition is a popular strategy for video game developers, and is adopted by 68% of firms. Organizational innovativeness and its particular dimensions are positively and significantly related to both direct and indirect coopetition. Based on factor analysis we find its three components to be reliable: openness and encouragement to innovate; strategic innovative focus; and extrinsic monetary motivation. While extrinsic monetary motivation does not play a role in coopetition of video game developers, openness and encouragement to innovate stimulates especially indirect coopetition, while strategic innovative focus affects especially direct coopetition.     

Leader-employee congruence of expected contributions in the employee-organization relationship

Employees' expected contributions can be incongruent with those of their leader. We examine the congruence effect of leaders' and employees' expected contributions on job satisfaction. Results of cross-level polynomial regressions on 947 employees and 224 leaders support the congruence effect. When expected contributions are congruent, employees are more satisfied with their job. Our findings suggest that employees enjoy high challenges, as long as these challenges are in harmony with the expected contributions of their leaders. Employees are less satisfied with their jobs both when their expected contributions were higher than their leaders' and when their expected contributions were lower than those of their leaders. Beyond the relevance of having high expected contributions, the findings highlight the crucial role played by the congruence of expected contributions of leaders and employees.     

Constrained vs unconstrained labor supply: the economics of dual job holding

This paper develops a unified model of dual and unitary job holding based on a Stone-Geary utility function. The model incorporates both constrained and unconstrained labor supply. Panel data methods are adapted to accommodate unobserved heterogeneity and multinomial selection into six mutually exclusive labor supply regimes. We estimate the wage and income elasticities arising from selection and unobserved heterogeneity as well as from the Stone-Geary Slutsky equations. The labor supply model is estimated with data from the British Household Panel Survey 1991–2008. Among dual job holders, our study finds that the Stone-Geary income and wage elasticities are much larger for labor supply to the second job compared with the main job. When the effects of selection and unobserved heterogeneity are taken account of, the magnitudes of these elasticities on the second job tend to be significantly reduced.     

Effectiveness of training to promote routine enquiry for domestic violence by midwives and nurses: A pre-post evaluation study

Background

Asking women about experiences of domestic violence in the perinatal period is accepted best practice. However, midwives and nurses may be reluctant to engage with, or effectively respond to disclosures of domestic violence due a lack of knowledge and skills.

Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach

This article studies design selection for generalized linear models (GLMs) using the quantile dispersion graphs (QDGs) approach in the presence of misspecification in the link and/or linear predictor. The uncertainty in the linear predictor is represented by a unknown function and estimated using kriging. For addressing misspecified link functions, a generalized family of link functions is used. Numerical examples are shown to illustrate the proposed methodology.     

Reducing sample size needed for cox-proportional hazards model analysis using more efficient sampling method

Abstract

In general, survival data are time-to-event data, such as time to death, time to appearance of a tumor, or time to recurrence of a disease. Models for survival data have frequently been based on the proportional hazards model, proposed by Cox. The Cox model has intensive application in the field of social, medical, behavioral and public health sciences. In this paper we propose a more efficient sampling method of recruiting subjects for survival analysis. We propose using a Moving Extreme Ranked Set Sampling (MERSS) scheme with ranking based on an easy-to-evaluate baseline auxiliary variable known to be associated with survival time. This paper demonstrates that this approach provides a more powerful testing procedure as well as a more efficient estimate of hazard ratio than that based on simple random sampling (SRS). Theoretical derivation and simulation studies are provided. The Iowa 65+ Rural study data are used to illustrate the methods developed in this paper.