Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.     

Islam-based legal language and state governance: democracy,strength of the judiciary and human rights

Constitutional Political Economy - States embracing Islam-based laws are frequently seen as struggling with establishing democratic institutions, jeopardizing human rights and encouraging executive...     

Mood and Ethical Decision Making: Positive Affect and Corporate Philanthropy

Journal of Business Ethics - This study examines the influence of mood (‘affect’) on corporate philanthropic giving. Drawing on group emotions theory and affect-infused decision theory,...     

Analysis of the status and trends of applications of advanced manufacturing technologies in Russia

The article has analyzed trends in applying advanced manufacturing technologies in Russia in 2005–2014. The dynamics of technical process structures in the context of applications has been considered. The dynamics of the age structure and the structure of technologies in use in annual terms by the place of acquiring has been assessed. The start-up, availability, and removal balance of technologies has been formed, the effective start-up level, and possible ways to improve the state statistical indicators of innovation development have been determined.     

Training professionals' usage and understanding of Kirkpatrick's Level 3 and Level 4 evaluations

Training professionals have long acknowledged the necessity of conducting behavior‐based (Level 3) and results‐based (Level 4) evaluations, yet organizations do not frequently conduct such evaluations. This research examined training professionals' perceptions of the utility of Level 3 and Level 4 evaluations and the factors that facilitate or obstruct their attempts to perform them. The research was conducted using Brinkerhoff's Success Case Method and Gilbert's Behavior Engineering Model as its frameworks. The three key factors identified by study participants as having an impact upon their ability to conduct Level 3 and Level 4 evaluations were the availability of resources such as time and personnel, managerial support (organizational) and expertise in evaluative methodology (individual). The research findings indicated a need to further explore how training professionals interpret Level 3 and Level 4 and how they can better develop their evaluative expertise, which in turn may increase effectiveness in gaining organizational support for evaluation efforts.     

Workload control under continuous order release

Workload control is a production planning and control concept specifically designed for complex manufacturing environments. Past research on Workload control has been essentially focused on discrete order release. This means that release of orders to the shop floor takes places on a periodic basis. Continuous order release has been somehow neglected, in spite of its apparent potential for improving system performance, including the reduction of order flow times. This paper presents a simulation study of this order release approach. The study contributes for improving the basis for setting workload norms, selecting the workload control strategy and deciding upon routing alternatives under continuous order release.     

Nanotechnology and the new technological revolution: Expectations and reality

This paper reviews the existing mechanisms of innovative development in the world economy focusing on emerging technologies markets evolution on the example of nanotechnology. The question has been raised of whether nanotechnologies can provide the core of the new technological revolution, and whether these prospects exist for NBIC convergence. In this connection the development of the global market for nano-enabled products following the 2007–2009 crisis and the reliability of the related development forecasts have been assessed. Particular attention has been paid to peculiarities of nanoenabled product market structure and the impact of stagnating R&D costs in the field of nanotechnology.     

Assessment of the impact of human capital on economic growth

This paper presents updated figures on the dynamics of human capital in the Russian economy. Time series of human capital are obtained for major types of economic activity that cover up to 85–90% of the total human capital in the Russian economy for 1992–2012. An analysis of the impact of accumulated human capital on economic dynamics is performed by means of the production function model. An original approach to assessing the production function based on the method of principal components is introduced.     

A Common Base Answer to the Question “Which Country Is Most Redistributive?”*

We believe that what most authors have in mind when referring to the “most redistributive country” is a tax and transfer schedule that is most redistributive across all pre-tax and transfer income distributions. In order to measure each country's tax and transfer redistribution according to the same baseline, we suggest using the transplant-and-compare method of Dardanoni and Lambert (2002, Journal of Public Economics 86, 99–122) to establish a common base. The redistributive effects of countries’ tax and transfer schedules are illustrated by employing microdata on eight countries from the Luxembourg Income Study (LIS). Of these eight countries, Finland is found to be the most redistributive country, according to the common base method.