Using the allocation of emission permits for strategic trade purposes

We show that the presence of transaction costs in emission permit markets challenges the common presumption that grandfathering permits corresponds to lump-sum transfers with no strategic effects on output. Fixed transaction-costs influence firms’ decision to participate in the permits market, while variable transaction-costs affect firms’ output choice by creating a wedge between buyers’ and sellers’ opportunity cost of using permits. Thus, permit grandfathering can be used as a strategic trade instrument even when firms are price takers in the permit markets. Grandfathered permits differ from subsidies in that the stimulus they provide is bounded exogenously and rather limited.     

Regulating prices in two-sided markets: The waterbed experience in mobile telephony

The distinguishing feature of two-sided markets is that the pricing structure, that is, the relative prices charged to each side, matters. Regulators need to understand and account for the interdependence of prices in both sides. Some interventions that lower the prices on one side can result in higher prices on the other side of such markets. This article reviews the recent literature analyzing this waterbed phenomenon in mobile telephony and draws some more general lessons for policy interventions in two-sided markets.     

A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency

We use ultra high frequency (trade by trade) data to demonstrate that equity price clustering and pricing predictability around psychologically important prices in Greece switches away from drachma-focused with the introduction of the euro, but does not immediately switch to euro-clustering. The change in trader price focus around the euro introduction addresses an open debate in the clustering literature on whether the presence of clustering is a bias related to the current prices or anchoring to past prices. Our findings of a decline in drachma clustering, but lack of switch to euro effects supports the case for clustering being a trading feature that is slow to transfer to new pricing regimes. A key advantage of the ultra high frequency dataset is we are also able to demonstrate the presence of psychological pricing barriers related to each currency that are not detectable in daily data.     

The Impact of Structural Reforms on Telecommunications Performance

The paper investigates to what extent regulation, competition and privatization affect Telecommunications performance for 30 OECD countries over the period 1975–2013. This study explores the difference between separate and joint effects among these structural reform variables, in the concept of a dynamic model, taking also into account the difference between short run and long run effects. We argue that regulation has a more aggressive effect on performance when it is combined with the other two structural reform variables in both models.     

Forecasting with limited data: Combining ARIMA and diffusion models

Forecasting diffusion of new technologies is usually performed by the means of aggregate diffusion models, which tend to monopolize this area of research and practice, making the alternative approaches, like the Box-Jenkins, less favourable choices due to their lack of providing accurate long-term predictions. This paper presents a new methodology focusing on the improvement of the short-term prediction that combines the advantages of both approaches and that can be applied in the early stages of a diffusion process. An application of the methodology is also illustrated, providing short-term forecasts for the world broadband and mobile telecommunications' penetration. The results reveal that the methodology is capable of producing improved one-year-ahead predictions, after a certain level of penetration, as compared to the results of both methods individually. This methodology can find applications to all cases of the high-technology market, where a diffusion model is usually used for obtaining future forecasts. The paper concludes with the limitations of the methodology, the discussion on the application's results and the proposals for further research.     

Intangible Assets and the Network Structure of MNCs

This paper examines the nature of the relationship between corporate intangible assets and the multinational network structure of the firm. Specifically, the question addressed in this paper is whether the nature of corporate intangible assets determines the mode of geographic expansion of the MNC. The interactive effects between the level and type of corporate intangibles and the foreign expansion path of MNCs are also examined. Based on the analysis of 362 MNCs, representing 88 three-digit SIC industries, the results of this study show that R&D-intensive MNCs maintain substantially more geographically diversified and less geographically focused operating networks than advertising-intensive MNCs. Furthermore, R&D-intensive MNCs' foreign investments create more value through geographic diversification, while non-R&D-intensive MNCs benefit the most by increasing the geographic focus of their foreign investment activities. We also document that MNCs without significant levels of technology know-how and marketing based intangible assets can benefit the most from geographic-focused rather than geographic-diversified foreign business operations.     

Profit efficiency in the European Union banking industry: a directional technology distance function approach

We employ the directional technology distance function approach and present estimates of profit efficiency in the 25 European Union (EU) member states over the period 1998–2008. This method decomposes profit efficiency into its technical and allocative components. We investigate potential efficiency differences across the old EU region and the new EU member states, across countries and across banks of different size. Our results indicate a significant level of profit inefficiency for the EU region, which is predominantly attributed to allocative inefficiency. Our findings also suggest that banks operating in the old EU region are, on average, more profit efficient than credit institutions in the new EU member states. Overall, we observe considerable variation of efficiency scores across countries and different patterns in efficiency change over time, as well as a negative relationship between bank size and efficiency.     

International stock markets interactions and conditional correlations

This paper investigates the transmission of price and volatility spillovers across the US and European stock markets in bivariate combinations. The framework used encompasses the most popular multivariate GARCH models, with News Impact Surfaces employed for interpretation. By using synchronous data the dynamic conditional correlation model (Engle, R., 2002. Dynamic conditional correlation: a simple class of multivariate GARCH models. Journal of Business and Economic Statistics 20, 339–350) is found to best capture the relationships for over half of the bivariate combinations of markets. Other findings include volatility spillovers from the US to European markets, and a reverse spillover. In addition, the magnitude of the correlation between markets is higher not only for negative shocks in both markets, but also when a combination of shocks of opposite signs occurs.     

Optimum Growth and Carbon Policies with Lags in the Climate System

We study the optimal carbon tax in an economy in which climate change, stemming from polluting non-renewable resource, affects the economy’s growth potential. Our main contribution is to introduce and explore the natural time lag of the climate system between emissions and damages to capital accumulation in an endogenous growth setting. This allows us to investigate how optimal climate policy, and its interplay with climate dynamics, affect long-run growth and the transition of the economy towards it. Without pollution decay, a higher speed of emissions diffusion steepens the growth profile of the economy. With pollution decay, this leads to lower short-run but higher long-run economic growth during transition. Poor understanding of the emissions diffusion process leads to suboptimal carbon taxes, resource extraction and growth.     

What drives inequality and poverty in the EU? Exploring the impact of macroeconomic and institutional factors

Employing panel data techniques, we investigate the macroeconomic and institutional determinants of inequality and poverty in the EU over the period 1994–2008. We pay particular attention to the effects of macroeconomic environment, social protection and labour market institutions. The empirical analysis shows that the social transfers in cash, and principally the transfers that do not include pensions, exert a prominent impact on inequality and poverty. Also significant is the effect of the GDP per capita. The impact of employment on inequality and poverty is not empirically sound. The same holds for the labour market institutions; an exception is the union density, which appears conducive to a less dispersed personal income distribution. Importantly, the results support the view that the social protection system acts as a catalyst in determining the effectiveness of social spending and the distributive role of economic growth and employment.