GLOBALISATION: PAST AND PRESENT

This article compares and contrasts the two modern eras of globalisation, namely the one that started in the mid-nineteenth century and ended on the eve of World War I, and the contemporary era. Although in both periods globalisation brought down national barriers and integrated economies and societies, there were distinct characteristic features of both periods. For example, the scale of global integration through trade and financial channels during the contemporary era was unmatched by the previous phase of globalisation. Furthermore, never in history had global integration involved so many countries and people, both in absolute numbers and as a percentage of the global population.     

Causality effects in return volatility measures with random times

We provide a structural approach to identify instantaneous causality effects between durations and stock price volatility. So far, in the literature, instantaneous causality effects have either been excluded or cannot be identified separately from Granger type causality effects. By giving explicit moment conditions for observed returns over (random) duration intervals, we are able to identify an instantaneous causality effect. The documented causality effect has significant impact on inference for tick-by-tick data. We find that instantaneous volatility forecasts for, e.g., IBM stock returns must be decreased by as much as 40% when not having seen the next quote change before its (conditionally) median time. Also, instantaneous volatilities are found to be much higher than indicated by standard volatility assessment procedures using tick-by-tick data. For IBM, a naive assessment of spot volatility based on observed returns between quote changes would only account for 60% of the actual volatility. For less liquidly traded stocks at NYSE this effect is even stronger.     

Forecasting the Euro exchange rate using vector error correction models

Forecasting the Euro Exchange Rate Using Vector Error Correction Models. — This paper presents an exchange rate model for the Euro exchange rates of four major currencies, namely the US dollar, the British pound, the Japanese yen and the Swiss franc. The model is based on the monetary approach of exchange rate theory which uses fundamental macroeconomic variables to explain the exchange rate. A crucial point when using such a model is its proper estimation through cointegration analysis. The euro exchange rate model is therefore estimated in the form of a Vector Autoregressive (VAR) model with cointegrating vectors (VECM). We find that when cointegration analysis is undertaken properly, the naive random walk prediction can be out-performed for the US dollar, the British pound and the Japanese yen, but not for the Swiss franc.     

Accession to the euro-area: a stylized analysis using a NK model

This paper analyses the accession to the euro-area by new members using a stylized new-Keynesian model. We analyze macroeconomic adjustment in the pre- and post-accession case and calculate welfare in both situations to obtain net benefit/loss from accession. It is shown how the effects of accession is related to the conduct of monetary policy and fiscal policy in the pre- and post-accession case. The simulation examples point at the potential costs that accession might entail due its consequences on monetary and fiscal policy design. These consequences from accession in terms of macroeconomic stabilization ability of monetary and fiscal policies have not always been fully acknowledged and may need more attention.     

THE CASE FOR PAY-AS-YOU-GO PENSIONS IN A SERVICE ECONOMY

The elderly consume more labour‐intensive services than young individuals. This makes them vulnerable to rising costs of services due to higher wages, which can be caused by increased capital accumulation. This paper shows that in a model with a service sector, the golden‐rule capital stock is lower and dynamic inefficiency is more likely to occur than in the conventional one‐sector model. This implies that in many cases, a positive Pay‐As‐You‐Go tax maximises long‐run welfare in a service economy. Calculations based on data from the United Kingdom and the Netherlands show that the long‐run optimal degree of funding coincides with the current situation in these countries.     

Customs-related Transaction Costs,Firm Size and International Trade Intensity

customs are generally perceived as a time-consuming impediment to international trade. However, few studies have empirically examined the determinants and the impact of this type of government-imposed transaction costs. This paper analyses the role of firm size as a determinant of customs-related transaction costs, as well as the effect of firm size on the relationship between these costs and the international trade intensity of firms. The results of this study indicate that customs-related transaction costs repress international trade activities of firms, even at low levels of these costs. The paper identifies transaction-related economies of scale, simplified customs procedures and advanced information and communication technology as main determinants of customs-related transaction costs. It is shown that when these factors are taken into account, firm size has no effect on customs-related transaction costs. Policy implications are considered for firm strategy and public policy.     

The Competencies of Regions – Canada's Clusters in Biotechnology

Knowledge-intensive industries tend to concentrate geographically, because of the many spillovers that they generate. Thus new biotechnology firms often set up in regions that have innovative firms, government laboratories and universities, which attract them to enter. In this paper we unveil some of the characteristics of Canadian clusters in biotechnology: the key regions, their relative importance, and the main firms and government laboratories that attract new entrants. Moreover, we develop the concept of regions as nexus of competencies, a notion already put forward for firms, but that may be relevant to regions within nations and, ultimately, to nations as well. Capabilities of organizations and regions vary, and a thorough study of organizational and regional capabilities should precede the analysis of knowledge spillovers.Toronto is the main center of biotechnology in Canada, followed by Montreal, and Vancouver. The total population of the metropolitan area (a proxy for immediate market size and venture capital) explains the size, location and characteristics of most Canadian clusters. University research is also a key factor explaining the size of the biotechnology clusters, once population is held constant.Within nations, scientific and technical competencies vary strongly among regions. Some regions within countries concentrate a disproportionate share of the capabilities of all developed and developing nations. Moreover, regions tend to concentrate competencies on a few domains of expertise. This is what literature calls "agglomeration effects": companies active in the same field of technology tend to cluster geographically. They do so in order to share a common labor pool, and to obtain ready access to research institutions such as government laboratories and universities, or to key markets and customers, such as large assemblers or government facilities (Feldman et al., 1999). The specialized literature calls these institutions and key markets/customers "entry attractors" (Swan et al., 1998).In many types of science-based industries (SBIs), such as biotechnology, information technology and advanced materials, the major attractors are universities and government laboratories. In a few more mature SBIs, including aerospace and aircraft, large assemblers tend to naturally attract smaller producers of, components and specialized software.In this respect Canada is similar, to other nations (Niosi, 2000). Its competencies cluster around a few large and medium-sized urban agglomerations, such as Toronto, Montreal, Vancouver, Ottawa, Edmonton, and Calgary. Specialized clusters have also developed around smaller cities. This study builds a theory of the competencies of regions using biotechnology as a case study. Government laboratories, as well as universities and a few large firms, attract entry. The goal of the paper is to examine – using quantitative data – the relative competencies of regions in biotechnology, and the role of NRC laboratories and university research.     

E-commerce sellers' ratings: Is user feedback adequate?

The literature on the theory of public procurement points out two well-known informational problems arising out of information asymmetry: (i) adverse selection and (ii) moral hazard. To reduce these issues and foster credibility and trust in the procurement process while maintaining quality and efficiency in public procurement, e-procurement platforms have turned to reputation or rating systems. Therefore, the research and design of such rating systems are crucial. In this study, we discuss the theoretical underpinnings of procurement and employ the information-theoretic, regression analysis, artificial neural network and principal component analysis (PCA) approaches to estimate the weights of the variables entering the rating system. Using real data from Government e-Marketplace, a business-to-business public e-commerce portal, we empirically determine the weights of the rating variables derived from the transaction-level and user feedback data for sellers. The weights obtained from the PCA are the most applicable compared with the other three methods. We compare the old rating system with the newly proposed design using the Wilcoxon signed-rank test. This results in a statistically significant difference between the two ratings. The canonical correlation and Wilks' trial reveal that the ratings derived from transaction-level data and user feedback are uncorrelated to a great extent. Hence, considering only transaction-level data or user feedback is unlikely to divulge sellers' intrinsic worth. E-commerce platforms can use this approach to quickly implement methods to obtain rating scores on a real-time basis for sellers on online platforms.