Consensus Monte Carlo is an algorithm for conducting Monte Carlo based Bayesian inference on large data sets distributed across many worker machines in a data center. The algorithm operates by running a separate Monte Carlo algorithm on each worker machine, which only sees a portion of the full data set. The worker-level posterior samples are then combined to form a Monte Carlo approximation to...

We re-examine the relationship between intra-industry trade and labour reallocation, using individual-level data on manufacturing worker moves in the United Kingdom. The contribution of this analysis is twofold. First, we estimate the impact of intra-industry trade on worker moves between occupations as well as between industries. Second, we run individual-level regressions that allow us to con...

We introduce a novel approach to cross-media learning based on argument based machine learning (ABML). ABML is a recent method that combines argumentation and machine learning from examples, and its main idea is to provide expert’s arguments for some of the learning examples. In this paper, we present an alternative approach, where arguments used in ABML are automatically extracted from text wi...

Politico-Economic Causes of Labor Regulation in the United States: Rent Seeking, Alliances, Raising Rivals’ Costs (Even Lowering One’s Own?), and Interjurisdictional Competition This paper offers an eclectic survey of the political economy of labor regulation in the United States at federal and state levels along the dimensions of occupational health and safety, unjust dismissal, right-to-work,...

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In this study we investigate some aspects of top management pay in China’s listed firms. While China has embraced many capitalist practices it still retains some vestiges of socialism and this has an impact on the way business executives are rewarded. In particular, the Chinese government wants to maintain social harmony and it believes that differences in pay between managers and workers shoul...

Big Data Management Systems usually manage each machine as one node in parallel query processing pipeline. In multi-core architectures, they leave several processor cores aside that could contribute to speed-up query processing. In this context, this paper explores the use of all available processor cores, assessing the query processing performance in several scenarios. In particular, we use th...

The rapid automation of automotive body assembly operations has resulted in a proliferation of the process steps to be monitored and displayed, thereby making the task of the worker more complex. The progression of assembly and associated machine cycling is controlled by programmable logic controllers whose states are displayed on control panels. The significance of the interface between a work...

A large body of literature emphasizes the relationship between stigma and adverse health outcomes and health access measures. For people living with hepatitis C virus (HCV), stigma is a defining feature given the association of HCV with the socially demonized practice of injection drug use. However, there is little literature that specifically examines stigma as a barrier to HCV care and treatm...