The endless need for regulation in telecommunication: An explanation

Telecommunication services have existed as a legal monopoly nearly throughout its entire history. In 1998, telecom market liberalisation was achieved across the European Union (EU) through the introduction of competition among telephone services. Asymmetrical obligations were deemed necessary in order to compensate the market power of the former monopolist.As the evolution of asymmetrical regulation in Spain illustrates, obligations and the telecommunications operators subject to them increased with the regulatory framework established in 2002 in the EU. This new regulatory framework may continue to expand through the inclusion of functional separation as another possible asymmetrical obligation. In short, it seems that the regulatory pressure on the telecommunications industry is increasing, despite the lapse in time since the liberalisation of the industry.In this paper, a methodology developed by the Austrian School of Economics is applied in order to explain why the telecommunication market is subject to increasing regulation in Europe, rather than deregulation, after more than 10 years of liberalisation. In particular, Mises's theory of price control is used to explain the evolution of the regulation of local loop unbundling.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

Changing rewards in contests: Has the three-point rule brought more offense to soccer?

In the mid-nineties FIFA decided to increase from two to three the number of points assigned to the winning team of a soccer match played under traditional round-robin national leagues. Since a game of soccer can be regarded as a contest, FIFA's measure provides an interesting case-study for analysing how a change in the system of rewards (from a zero to a non-zero sum rule) may affect the contestants' equilibrium behaviour. In this paper we try to assess, both theoretically and empirically, whether FIFA's new point rule has changed soccer towards a more offensive game, in which teams adopt more risky strategies. In particular, we evaluate the “na?ve hypothesis” according to which the measure would induce every team to play always more offensively, and we explore the extent to which the change in teams' behaviour may be affected by quality differentials between teams. Our most important hypothesis is that when the asymmetry between opposing teams is large enough, an increase in the reward for victory induces the weaker team to play more defensively, rather than the opposite. By looking at a subset of matches held in the Portuguese first division league, which approximate the conditions of our model, we find support for this hypothesis. First version received: July 1999/Final version received: May 2001     

The dynamics and revealed preference of status-quo optimality

Summary In a preceding companion paper, a static model of individual decision making was proposed that, due to imprecise perceptions, induces simple and inertial behavior at equilibrium (status-quo optimal) points. This paper addresses two complementary issues. Firstly, it studies the learning dynamics induced by the model and shows that its well-defined limit behavior ranges from status-quo optimal to fully optimal, depending on the underlying features of the problem. Secondly, the paper characterizes the behavioral implications of the model and compares them with those derived from standard decision-theoretic frameworks. Specifically, it is shown that, from a Revealed-Preference perspective, status-quo optimal behavior may be identified with that rationalizable by an acyclic preference relation, possibly intransitive.     

Estimating Krugman’s Economic Geography Model for the Spanish Regions

This paper estimates Krugman’s (J Polit Econ 99:413–499, 1991) economic geography model using data from the Spanish NUTS 3 regions. The econometric formalization endogenously determines wages in a region as a function of income and wages in other regions. The specification adopted also allows us to study the relation between the agglomeration of economic activity, increasing returns and market access. The first result obtained is that the Spanish economy exhibits a spatial wage structure: wages in a region are positively determined by income and wages in neighboring regions. In second place it is found support for the structural relations of the underlying theoretical model, indicating the importance of scale economies and transport costs in shaping the Spanish economic geography.     

Technological change, human capital update and growth policies

This paper presents a model of growth driven simultaneously by innovation and human capital accumulation. Two different long-run equilibria are possible, according to whether or not workers skills are completely updated over time as knowledge expands. Skill gaps could arise as a consequence of poor education infrastructures, even in the efficient solution; in such circumstances, we find that whilst education policies are able to encourage growth, R&D policies are not. Otherwise, subsidizing education becomes ineffective for enhancing growth, although it could be necessary to avoid possible skill gaps originated by the R&D growth-enhancing policy.JEL Classification: O41, O33The authors wish to thank the financial support received for the project SEC 2001-2469 (Ministry of Science and Technology, Spain, and FEDER), as well as the comments of the co-editor and the referees.     

The Effects of Environmental Turbulence on New Product Development Strategy Planning

Managers need guidance on how to cope with turbulent environments in order to improve corporate performance. Research on environmental turbulence has suggested that firms adopt a less centralized, more organic structure in dynamic, uncertain environments. Little work has been done specifically, however, on how environmental turbulence affects strategy planning for new product development (NPD). In this article, we specify a baseline model with firm innovativeness, market orientation and top management risk taking as antecedents to NPD speed and corporate strategic planning; these in turn are modeled as antecedents to NPD program (not project) performance. Two conceptualizations of the role of environmental turbulence are examined: (1) that market turbulence and technological turbulence are additional direct antecedents to NPD program performance; and (2) that the baseline model is moderated by turbulence (that is, that the strengths of the paths differ depending on levels of turbulence). A cross-sectional survey methodology including four diverse industries [automotive, electronics, publishing, and manufacturing/research and development (R&D) laboratories] was used to test the hypotheses. The latter conceptualization is supported. In particular, the paths from innovativeness to strategic planning and from risk taking to NPD speed are significantly greater in highly turbulent environments. A set of managerial recommendations and implications are provided. First, managers must recognize the possible improvements in new product performance by actively including NPD personnel in corporate strategic planning and also by involving corporate planners in NPD activities. Second, managers also should recognize that turbulent environments heighten the need to make risky investments, and sometimes, risky decisions; risk-taking decisions ought to be encouraged in such environments.     

Money and exchange rates in the Grossman-Weiss-Rotemberg model

We analyze the impact of monetary policy on inflation, interest rates and exchange rates in a model with segmented asset markets developed by Grossman and Weiss (1983) and Rotemberg (1984, 1985). We find parameters for which real and nominal exchange rates in this model are (1) much more volatile than interest rates, inflation rates, and money growth rates, (2) highly correlated with each other, and (3) highly persistent. While this model fails to match the data in other important respects, it illustrates a potentially useful approach to modelling exchange rate behavior.