Reply to Gehrke

This paper responds to Christian Gehrke's comment, and argues that the main conclusion of my earlier paper is sustained—that, contrary to Sraffa, Marx did not ‘adopt’ in any sense of the word the joint product method of treating fixed capital. It agrees with Gehrke that Torrens adopted a form of the joint product method, and that Malthus seems to have followed Torrens in this regard. However, it argues that Ricardo did not adopt the joint product method, not even in the one instance cited by Sraffa. Finally, it argues briefly that Marx's ‘transformation of value’ method of treating fixed capital and depreciation is superior to Sraffa's joint product method.     

Multiperiod hedging in the presence of stochastic volatility

In this paper, we characterize the multiperiod minimum-risk hedge strategy within the stochastic volatility (SV) framework and compare it to other hedge strategies on the basis of hedging performance. Using crude oil markets as an example, we demonstrate that the SV model is appropriate in depicting price behaviour. However, ex ante and ex post comparisons indicate that the SV strategy is inferior to conventional hedging strategies. There is also evidence that the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) strategy may be better than the SV strategy, at least in terms of variance reduction.     

An analysis of the profitability of businesses of diversified companies

This paper presents empirical evidence on the relationship between diversification and profitability. The data set used in the analysis includes data on 55 U.S. corporations who participated in phase II of the project on Profit Impact of Market Strategy (PIMS).Following upon the pioneering work of Carl Kaysen, complex indices of diversification are developed. Cross sectional regression analyses indicate a statistically significant positive association between measures of corporate diversification and measures of business profitability (return on investment or profit margin on sales). These relationships are insensitive to variations in the treatment of outliers, and do not appear to be accounting artifacts.     

Decomposing hospital productivity changes, 1985–1988: A nonparametric Malmquist approach

Annual data on U.S. hospitals from 1985–1988 are evaluated by ownership type—profit, nonprofit, state and local government, and U.S. Department of Veterans Affairs (VA)—for changes in hospital productivity over time. Distance functions are used to measure Malmquist indices of productivity change, which are then decomposed into indices of efficiency change and technology change. In contrast to previous studies using this approach, we allow for variable returns to scale and use both input and output orientations. We find that changes in technology dominate changes in inefficiency in determining changes in productivity.     

Success factors for collaborative product development: a study of suppliers of information and communication technology

It is apparent that more and more organizations are embarking on collaborative ventures to develop products. This is particularly evident in Information and Communication Technology (ICT) sectors, so much so that part of the 'received wisdom' of ICT companies is that collaboration is the preferred route for product development. The benefits of collaboration have been well documented and are linked to the complexity and costliness of product development and the need for inputs from wide and varied areas of expertise as well as shorter lead times for product development. But the risks and costs of collsborative product development have been less well defined. In this paper, it is argued that the alleged rewards of collaboration may not be experienced in practice and that collaboration can lengthen the product development process, add to the cost of product development and prove difficult to control. However, management practice can facilitate the effective outcome of collaborative product development and the critical factors affecting the likelihood of successful management practice are presented here.     

In search of global leaders

For all the talk about global organizations and executives, there's no definitive answer to the question of what we really mean by "global." A presence in multiple countries? Cultural adaptability? A multilingual top team? We asked four CEOs and the head of an international recruiting agency--HSBC's Stephen Green, Schering-Plough's Fred Hassan, GE's Jeffrey-lmmelt, Flextronics's Michael Marks, and Egon Zehnder's Daniel Meiland--to tell us what they think. They share some common ground. They all agree, for example, that the shift from a local to a global marketplace is irreversible and gaining momentum. "We're losing sight of the reality of globalization. But we should pay attention, because national barriers are quickly coming down", Daniel Meiland says. "If you look ahead five or ten years, the people with the top jobs in large corporations ... will be those who have lived in several cultures and who can converse in at least two languages." But the CEOs also disagree on many issues--on the importance of overseas assignments, for instance, and on the degree to which you need to adhere to local cultural norms. Some believe strongly that the global leader should, as a prerequisite to the job, live and work in other countries. As Stephen Green put it, "If you look at the executives currently running [HSBC's] largest businesses, all of them have worked in more than one, and nearly all in more than two, major country markets." Others downplay the importance of overseas assignments. "Putting people in foreign settings doesn't automatically imbue new attitudes, and it is attitudes rather than experiences that make a culture global," says Fred Hassan. The executives' essays capture views that are as diverse and multidimensional as the companies they lead.     

Embodying Embodiment in a Structural,Macroeconomic Input-Output Model

In this paper, I develop a regression-based system of labour productivity equations that account for capital-embodied technological change and I incorporate this system into IDLIFT, a structural, macroeconomic input-output model of the US economy. Builders of regression-based forecasting models have long had difficulty finding labour productivity equations that exhibit the "Solowian' property that movements in investment should cause accompanying movements in labour productivity. The production theory developed by Solow and others dictates that this causation is driven by the effect of traditional capital deepening as well as technological change embodied in capital. Lack of measurement of the latter has hampered the ability of researchers to estimate properly the productivity-investment relationship. Recent research by Wilson (2001) has alleviated this difficulty by estimating industry-level embodied technological change. In this paper, I utilize those estimates to construct capital stocks adjusted for technological change and then use these adjusted stocks to estimate Solow-type labour productivity equations. It is shown that replacing IDLIFT's former productivity equations, based on changes in output and time trends, with the new equations, results in a convergence between the dynamic behaviour of the model and that predicted by traditional (Solowian) production theory.