On money and output: Is money redundant?

There is an emerging consensus that money can be largely ignored in making monetary policy decisions. Rudebusch and Svensson [1999, Policy Rules and Inflation Targeting. In Taylor, J.B. (Ed.), Monetary Policy Rules. University of Chicago Press, Chicago, 203-246; 2002, Eurosystem Monetary Targeting: Lessons from US Data. European Economic Review 46, 417-442] provide some empirical support for this view. We reconsider the role of money and find that money is not redundant. More specifically, there is a significant statistical relationship between lagged values of money and the output gap, even when lagged values of real interest rates and lagged values of the output gap are accounted for. We also find that inside and outside money provide significant information in predicting movements in the output gap.     

Action on tropical food products

The history of the Tropical Products Institute (TPI) extends back to 1894. For many years it was essentially a Commonwealth body; however in 1965 it became a scientific unit of the UK's Ministry of Overseas Development which had been created to administer the British Aid Programme. The Institute was then able to cooperate with other developing countries outside of the Commonwealth. It has been recognized for some years as a world centre for the study of post-harvest problems in plant and animal resource development. High among its priorities, accounting for some 75% of the effort of the staff of almost 400, are its programmes on the handling, processing, preservation, storage, transport, quality control, marketing and uses of tropical foods.     

Analysing clusters of skills in R&D — core competencies, metaphors, visualization, and the role of IT

Though it is now universally accepted that companies should try to align their R&D activities with their business objectives, achieving this alignment is notoriously difficult in practice. The rise of the core competence framework has been very helpful in creating, and legitimizing, a language in which issues of technical competence and R&D strengths can be followed through to their consequences for competitive advantage. Companies are starting to express their R&D priorities explicitly in terms of core competencies.
Without effective IT support, core competence concepts are often applied arbitrarily. This has led to accusations that core competence theory can become yet another battlefield upon which companies play out their internal political battles. Computer-based techniques can help counteract this danger by enabling large volumes of relatively objective data to be collected, then making it possible to analyse and draw out patterns from this data, and finally enabling the data to be represented effectively.
It is in this last area of data representation that information technology is now of particular benefit. In order to make the core competence approach sufficiently robust as a basis for decision making, it is necessary to collect and process large volumes of data. However, this data is normally difficult to represent in such a way that managers can assimilate it. In our recent experience, we have come to realize the particular importance of effective representations and metaphors, and have started to shift our own emphasis towards these areas in addition to analysis per se .
The paper shows how core competence approaches can support R&D management decision making by exploring the roles of data collection, analysis and representation. Information technology is an integral part of these approaches, and we draw out some generalized lessons for the successful use of IT in decision support.     

A systematic approach to technological forecasting

Past attempts to rationalize the many methods of technological forecasting have not been sufficiently practical; they have largely been based on an abstract sort of classification while their use has been of an ad hoc nature. This paper reviews the position and puts forward a rationale leading to a more logical classification of methods and a systematic approach to their use in practice. The proposed classification and systematic use of the many methods is based on the concept that a technological forecast has four prime elements or dimensions, qualitative, quantitative, time and probability. Only when all these elements are provided can a technological forecast be responsibly used in decision making in R & D and corporate planning.     

Cognitive skill and technology diffusion: An empirical test

Cognitive skills are robustly associated with good national economic performance. How much of this is due to high-skill countries doing a better job of absorbing total factor productivity from the world's technology leader? Following Benhabib and Spiegel (Handbook of Economic Growth, 2005), who estimated the Nelson–Phelps technology diffusion model, I use the database of IQ tests assembled by Lynn and Vanhanen, 2002, Lynn and Vanhanen, 2006 and find a robust relationship between national average IQ and total factor productivity growth. Controlling for IQ, years of education is of modest statistical significance. If IQ gaps between countries persist and model parameters remain stable, TFP levels are forecasted to sharply diverge, creating a “twin peaks” result. After controlling for IQ, few other growth variables are statistically significant.     

Let’s Not Go Down that Path Again: Lessons from the Past Applied to Immigrant-Targeted Discrimination

Immigrants, both legal and illegal, are a staple of the modern United States workplace. While much of the discussion of this fact centers on negative consequences for the U.S., far less attention has been paid to the detrimental impact on immigrants resulting from their workplace experiences, particularly relating to being targets of discrimination. In this article, we outline: a) a variety of types of workplace discrimination potentially relating to immigrant status; b) potential negative outcomes arising from said discrimination for both immigrant employees and their employers, and; c) how existing and predicted employment law standards place organizations in a legally vulnerable position when such discrimination goes unchecked. We further discuss implications of immigrant-targeted discrimination (ITD) for organizations and managers, and plausible extensions of workplace discrimination laws to specifically include ITD.     

The effects of privatization on productive efficiency: evidence from the Baltic republics

By using new and unusual data sets for large samples of firms in Estonia, Latvia and Lithuania we find that, since privatization, diverse patterns of enterprise ownership have emerged and ownership configurations are quite dynamic.   To test competing theories on the productivity effects of alternative ownership structures, identical cross sectional production functions specifications are estimated for each country for varying years during 1993 1996. While the effects of private ownership upon productivity are found to vary considerably over time and across countries, productivity effects are always found to be either zero or positive, thus providing partial support for the hypothesis that state ownership is less efficient than private ownership.   Findings are mixed concerning hypotheses on the effects of particular ownership structures. Often (e.g. for Lithuania) estimates indicate that all forms of private ownership have zero productivity effects. However, some estimates for Estonia provide support for the mainstream hypothesis that outside (and especially foreign) ownership is preferred to insider ownership. But in other estimates (again for Estonia) majority ownership by employees is found to deliver better business performance than majority ownership by managers (thus refuting the hypothesis that the preferred form of insider ownership is ownership by managers).     

Competitive trade models and real world features

Competitive small-dimension international trade models perform well in comparing free (or restrictive) trade with autarky, especially in emphasizing that consumption patterns can differ from production patterns and that production becomes highly concentrated while consumption patterns are expanded. Variations on these small-dimensional models can usefully show how with trade production patterns may nonetheless be more diverse and a country’s labor force become more heterogeneous in its skills. The paper illustrates how the Middle Products framework can be reinterpreted to support variety in production and in labor skills.