The education pillar of the Europe 2020 strategy: a convergence analysis

Empirica - In March 2010, the European Commission launched the Europe 2020 strategy ‘for smart, sustainable and inclusive growth’ in the EU. Education is a major pillar of the Europe...     

An alternative approach to the construction of multi-regional input–output tables of the Czech Republic: application of the CHARM method

Empirica - The main scope of the paper is to review the construction method of (multi-)regional input–output tables (RIOTs) in the Czech Republic at the NUTS 3 regional level. We compare the...     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

THE LOW-TRUST ROUTE TO ECONOMIC DEVELOPMENT: INTER-FIRM RELATIONS IN THE UK ENGINEERING CONSTRUCTION INDUSTRY IN THE 1980S AND 1990S*

There is a growing body of literature that suggests that advanced economies are experiencing an economic restructuring such that the engines of economic development are smaller, more independent, firms acting in an increasingly cooperative manner. In assessing whether the UK economy is actually experiencing such a shift in inter-firm relations, the paper firstly assesses the existing evidence. This evidence suggests the continued dominance of large firms and only limited and uneven movements away from a low-trust system. Secondly, the paper presents evidence on the nature of inter-firm relations in the UK engineering construction industry in the 1980s and 1990s. the research shows considerable improvement in performance against schedule associated with the emergence of management contractors. Management contractors can improve performance either by adopting a high-trust route in which they seek to make overall efficiency gains by integrating design and construction, or by adopting a low-trust route in which they seek to reduce scope for opportunism by rigidifying design, and by passing on risk. Evidence is presented which shows that management contractors in the UK have so far predominantly adopted the low-trust route to improved performance. Cumulatively, the evidence suggests the dominance of the ‘top down’ control of inter-firm relations in the UK.     

Network neutrality and the nature of competition between network operators

The neutral architecture of the Internet is being challenged by various parties, such as network operators providing the connections to end-users, who are interested in gaining control of the information exchanged over the Internet. What are the effects on competition and welfare of such practices? Currently, there exists very little economic theory on network neutrality. This paper provides a preliminary analysis of the type of economic modeling that can address network neutrality, as well as of the type of results that can be expected.     

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.     

Speculative attack against the Hungarian forint

In mid-January 2003 a severe speculative attack was launched against the exchange rate of the Hungarian forint. The attack was very unusual in the history of foreign exchange speculations, since it was aimed at enforcing the appreciation — and not the depreciation — of the currency targeted. The specific nature of this kind of speculation is closely related to Hungary’s accession to the European Union in general and to EMU in particular. Since the other Central and Eastern European acceding countries face similar problems and challenges, the Hungarian experience may involve some instructive lessons on monetary and economic policy for them too.     

Liberalisation and de-regulation of the public sector in the transition from plan to market

The above analysis allows several conclusions to be drawn:

Dominance Statistics: A Simulation Study on the d Statistic

Quality &; Quantity - Cliff (1993) has proposed the use of a measure of effect size alternative to traditionalmean differences: δ {? = Pr(xi1 &;gt; xj2) - Pr(xi1 &;lt; xj2)}which,...     

Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.