Monetary anticipation and the demand for money in the U.K.: Testing rationality in the Shock-Absorber hypothesis

The Carr-Darby shock-absorber hypothesis that unanticipated changes in the money supply cause changes in real balances but anticipated changes have a unit impact on the price level (and therefore leave real balances unchanged) is tested using two-step and joint estimation techniques. For the U.K., two-step methods appear to support the shock-absorber hypothesis, but the superior joint estimation technique decisively rejects the hypothesis, particularly the implicit rational expectations cross-equation restrictions.     

Resuscitating the wage channel in models with unemployment fluctuations

Higher wages all else equal translate into higher inflation. More rigid wages imply a weaker response of inflation to shocks. This view of the wage channel is deeply entrenched in central banks’ views and models of their economies. In this paper, we present a model with equilibrium unemployment which has three distinctive properties. First, using a search and matching model with right-to-manage wage bargaining a proper wage channel obtains. Second, accounting for fixed costs associated with maintaining an existing job greatly magnifies profit fluctuations for any given degree of wage fluctuations, which allows the model to reproduce the fluctuations of unemployment over the business cycle. And third, the model implies a reasonable elasticity of steady state unemployment with respect to changes in benefits. The calibration of the model implies low profits, but does not require a small gap between the value of working and the value of unemployment for the worker.     

Applications of business analytics in healthcare

The American healthcare system is at a crossroads, and analytics, as an organizational skill, figures to play a pivotal role in its future. As more healthcare systems capture information electronically and begin to collect more novel forms of data, such as human DNA, how will we leverage these resources and use them to improve human health at a manageable cost? In this article, we argue that analytics will play a fundamental role in the transformation of the American healthcare system. However, there are numerous challenges to the application and use of analytics: the lack of data standards, barriers to the collection of high-quality data, and a shortage of qualified personnel to conduct such analyses. There are also multiple managerial issues, such as how to get end users of electronic data to employ it consistently to improve healthcare delivery and how to manage the public reporting and sharing of data. In this article, we explore applications of analytics in healthcare, barriers and facilitators to its widespread adoption, and ways in which analytics can help us achieve the goals of the modern healthcare system: high-quality, responsive, affordable, and efficient care.     

The Innovative Performance Of The World'S Largest Firms: Some New Evidence ‡

Data on R & D expenditures and US patenting in the world's 660 largest, technologically active firms both show a linear relation between firm size and the volume of innovative activities, despite some inconsistencies between the two measures. Technological diversity increases with firm size, but relatively weakly, especially in R & D-intensive sectors. Sectoral variations in the comparative technological advantage of large firms based in Japan, the USA and W. Europe are better explained by variations in rivalry in their home market than by variations in their size.     

An Integer Programming Approach to Solving the Inverse Graph Model for Conflict Resolution with Two Decision Makers

Group Decision and Negotiation - Operational algorithms for solving the inverse problem for the graph model for conflict resolution are presented for the case of two decision makers (DMs) under a...