Analysis of the effects of settlement of interfirm lawsuits

This study examines the effects of news on settlement of interfirm lawsuits. We hypothesize that the defendant firms suffer damaged reputation as news on the interfirm lawsuit remains in the ‘public eye’, as such ending the litigation process through settlement is good news for the defendant firms. Thus, the stock market will react positively to the defendants when news of a settlement is announced. On the other hand, settlements end the free publicity that the plaintiffs enjoy. In addition the plaintiffs settle for less money than they initially seek. Thus, the implication of a reduced cash flow expectations that the announcement of settlements brings to the plaintiffs will cancel out the positive reputation effect. Therefore, there will be no significant stock market reaction to the plaintiffs when a settlement is announced. Furthermore, the stock market will show no significant reaction to the defendants who have been the subject of more than one lawsuit in a relatively short period of time prior to a settlement because their reputation is too severely damaged to be remedied through removal of their name from the limelight. The results of our analysis support the hypotheses and offer some insight for strategy development. Copyright © 2006 John Wiley & Sons, Ltd.     

The Exchange Rate and its Fundamentals in a Complex World

We develop a nonlinear exchange rate model with heterogeneous agents. Some agents adopt a “fundamentalist” forecasting rule, while others use a “chartist” forecasting rule. We show that the model is capable of explaining the empirical puzzles relating to exchange rate movements. In particular, the model explains the “exchange rate determination” and PPP puzzles, the excess volatility, and fat tails in exchange rate returns.     

Analysis and Forecast of the State of Environmental Protection in Russia

The main purpose of the present study is to analyse the emission dynamics of atmospheric and water pollutants in Russia and cost of their removal in the 1980s and early 1990s, and to forecast them by means of a Dynamic Input–Output Model according to different scenarios of future economic development till 1998. Main results of the work are:– methodological principles have been elaborated for singling out the environmental protection sector within the national economy;– a method has been offered for including the ecological block into a Dynamic Input–Output Model of the Russian economy;– a method of data preparation has been elaborated for the ecological block of the above-named model, the data base which characterizes the ecological situation in Russia has been formed and analysed;– calculations for 1994–1998 have been executed for forecasting the economic and ecological development of Russia using the above-mentioned model and the results obtained have been analysed. The results showed that if the existing tendencies towards low environmental protection capital costs remain the same, then the negative environmental impact will increase. In order to implement ecological programs and international agreements, to increase the proportion of removed pollutants, it is necessary to increase substantially expenditures on purifying water and air resources. The proportion of environmental protection investments in the total amount of the national economy capital costs should increase by up to 12–40% according to different scenarios of the economic development and different purposes of the environmental protection policy.     

Toward a Phylogenetic Reconstruction of Organizational Life

Synopsis Classification is an important activity that facilitates theory development in many academic disciplines. Scholars in fields such as organizational science, management science and economics and have long recognized that classification offers an approach for ordering and understanding the diversity of organizational taxa (groups of one or more similar organizational entities). However, even the most prominent organizational classifications have limited utility, as they tend to be shaped by a specific research bias, inadequate units of analysis and a standard neoclassical economic view that does not naturally accommodate the disequilibrium dynamics of modern competition. The result is a relatively large number of individual and unconnected organizational classifications, which tend to ignore the processes of change responsible for organizational diversity. Collectively they fail to provide any sort of universal system for ordering, compiling and presenting knowledge on organizational diversity. This paper has two purposes. First, it reviews the general status of the major theoretical approaches to biological and organizational classification and compares the methods and resulting classifications derived from each approach. Definitions of key terms and a discussion on the three principal schools of biological classification (evolutionary systematics, phenetics and cladistics) are included in this review. Second, this paper aims to encourage critical thinking and debate about the use of the cladistic classification approach for inferring and representing the historical relationships underpinning organizational diversity. This involves examining the feasibility of applying the logic of common ancestry to populations of organizations. Consequently, this paper is exploratory and preparatory in style, with illustrations and assertions concerning the study and classification of organizational diversity.     

Voluntary development of environmental management systems: motivations and regulatory implications

Encouraging firms to develop voluntarily more comprehensive environmental management systems (EMSs) is touted as a policy tool to augment mandatory environmental regulations. Using a unique dataset of environmental management practices of Japanese manufacturers and controlling for self-selection bias in survey responses, we find that proxies for regulatory pressures and consumer pressures are the most important factors that motivate firms toward more comprehensive EMSs. Despite the oft-claimed “voluntary” nature of EMS development, our results show that the government may have a role to play in both directly and indirectly affecting EMS development by firms.      

Incentive effects of benevolent intervention: The case of government loan guarantees

There has been a substantial recent growth in government loan guarantees to ailing firms in the United States. This paper investigates the potential incentive effects of this practice. Using the simplest available two-period model, it is shown that when firms know that loan guarantees may be forthcoming, they may be induced to adopt riskier investments and take on more leverage. These perverse incentive effects imply that the actual loan-guarantees-related contingent liability of the government could be much larger than suspected. Our policy recommendation is that the government either abandon the practice altogether or set up a federal agency that sells loan guarantees to all firms at prices that depend on the riskiness of the firm's assets and its leverage.     

The relationship between technology and science: Some historical and philosophical reflections. Part I

This essay offers a detailed review of the literature on the relationship between technology and science. It is in two parts. Part I begins by describing science and technology, and the differences between them. It then discusses the commonly-held technology-as-applied-science (TAS) view; the origins of this view, the support for it, and the strong historical and philosophical challenges to it, beginning more than half a century ago, are explored. The development of the steam engine is then offered as a brief case study to illustrate that science-technology relations are more complex than implied by the TAS view. Part I concludes with a consideration of ontological arguments supporting the reverse view, namely that technology is often a necessary precursor to science.Part II, to be published in a following issue, explores some of the consequences of the TAS view. One consequence is that it has generated a story-line in which scientific ideas are emphasised and other factors necessary for technological innovation have been down-played. Another consequence is that, even in cases where technology does apply scientific knowledge, the process of application is often considered obvious; the difficulties of translating ideas into artefacts may not be appreciated. The essay argues for the telling of a more complex story of science-technology relations, one which recognises their historical independence in the past, and their mutual, two-way interaction in many modern fields of endeavour. It concludes with a consideration of some economic and educational implications.     

Some results about averaging in stochastic approximation

The paper presents some results concerning the averaging approach in a general linear regression model in one dimension under suitable conditions about the martingale structure of errors. At first asymptotics of the primary and averaged estimators are discussed. Then it is shown that variances of estimators can be consistently estimated by appropriate integrated squared deviations functionals. Finally applications to the construction of confidence regions are considered.