On the European Responsibility in the Agricultural Multilateral Trade Negotiations: Modelling the Impacts of the Common Agricultural Policy

The present round of multilateral trade negotiations is still deadlocked over agricultural trade. The European Union (EU) is urged by its trading partners to open its agricultural markets. Economic evaluations of trade liberalisation scenarios unanimously conclude that a substantial opening of agricultural markets is required for a successful (welfare‐improving) Doha Round. In this paper, we perform new evaluations to identify precisely the contributions of the European farm policy and to examine the robustness of these evaluations in the representation of this complex policy. Using the same specifications as in major previous studies, our first simulations show that the EU has a major responsibility in delivering significant gains to the developing countries. On the other hand, when we conduct the same experiments with a more relevant calibration and modelling of the European farm policy instruments, the gains that these developing countries may reap from the EU liberalisation are considerably reduced. Accordingly the current charge against the EU is simply inopportune.     

Accounting earnings and firm valuation: the French case

Considering that the level of the association between stock returns and accounting earnings provides a measure of the extent to which earnings summarize the information which is useful for firm valuation, this paper analyses the contemporaneous association between stock returns and earnings changes or earnings level of individual French stocks and portfolios for periods of one, two and five years between 1981 and 1990. The empirical findings are as follows. (a) Stock returns are more linked to earnings changes than to earnings levels indicating that earnings provide more information about changes in firm value than about firm value. (b) Earnings prepared in accordance with the French accounting principles are not less value-relevant than those prepared in accordance with US or UK GAAP. (c) A cross-sectionally and time-aggregated data procedure provides a large increase in the explanatory power of earnings for returns which is consistent with a noise-in-earnings effect probably induced by accounting measurement and valuation principles and with a recognition lag effect due to the fact that value-relevant events are not integrated into earnings exactly when they occur. These two effects are shown to be the major causes of the low association between earnings and returns generally observed in studies based on short period data for individual stocks.     

Financial prediction with constrained tail risk

A new class of asymmetric loss functions derived from the least absolute deviations or least squares loss with a constraint on the mean of one tail of the residual error distribution, is introduced for analyzing financial data. Motivated by risk management principles, the primary intent is to provide “cautious” forecasts under uncertainty. The net effect on fitted models is to shape the residuals so that on average only a prespecified proportion of predictions tend to fall above or below a desired threshold. The loss functions are reformulated as objective functions in the context of parameter estimation for linear regression models, and it is demonstrated how optimization can be implemented via linear programming. The method is a competitor of quantile regression, but is more flexible and broader in scope. An application is illustrated on prediction of NDX and SPX index returns data, while controlling the magnitude of a fraction of worst losses.     

Agent-Based Facilitation of Water Allocation: Case Study in the Drome River Valley

The purpose of the 1992 French Water Act is to encourage negotiation and dialogue among local stakeholders within a framework which is very similar to a patrimonial approach. Potential use of models in such post-normal approaches is analyzed. Two kinds of models are compared: one is agent-based, the other follows a more classical approach. They are compared according to their contributions as negotiation support tools. This comparison is based on a specific collective decision process dealing with water allocation at the sub-basin scale, in which authors are involved. Both are used to support collective decision processes through simulation of resource use dynamics. Agent-Based Models entail the broadening of spatial information of actors in the process, revealing inter-connected topics not taken into consideration earlier. This makes it possible to remain relevant, despite the sometimes rapidly evolving stakes. The central point of this paper is the implementation, within a practical application, of theories advocating the use of ABM as a collective decision support system. This application promotes a better understanding of the kind of support ABM provides and the way it does so. This is brought about more by re-framing the discussion and modifying the representation of the system on the part of the stakeholders than by providing specific agreements.     

Modeling Ethical Business Culture: Development of the Ethical Business Culture Survey and Its Use to Validate the CEBC Model of Ethical Business Culture

This article reports the results of research to develop a survey instrument and its use to validate an ethical business culture construct (CEBC Model). The reported three-stage quantitative study builds on our previous qualitative work, aimed at identifying dimensions of ethical business cultures. The research resulted in a parsimonious construct, covering five dimensions of ethical business cultures, and a ten-question instrument, measuring this construct. In this article, we report results of exploratory and confirmatory factor analyses and convergent construct validity testing, discuss the potential applications of the construct and instrument in assessment and development of ethical business cultures, and provide recommendations for industry practitioners and for further research.     

Illicit Drug Use,Employment, and Labor Force Participation

Illicit drug use has declined among the U.S. adult population, but national surveys show the majority of illicit drug users are employed. Concern about workplace productivity, absenteeism, and safety has led many employers to establish employee assistance and drug testing programs. Given the sharp interest in workplace interventions, more information is needed about the relationships between drug use and labor market status. This study estimated the probability of employment and labor force participation for different types of drug users using nationally representative data from the 1997 National Household Survey on Drug Abuse. Results strongly indicated that chronic drug use was significantly related (negative) to employment for both genders and labor force participation for males. Furthermore, nonchronic drug use was not significantly related to employment or labor force participation. These findings suggest that workplace policies for illicit drug use should consider chronic or problem drug users apart from light or casual users.