MODELING THE EVOLUTION OF EXPECTATIONS AND UNCERTAINTY IN GENERAL EQUILIBRIUM

We develop methods to solve general equilibrium models in which forward‐looking agents are subject to waves of pessimism, optimism, and uncertainty that turn out to critically affect macroeconomic outcomes. Agents in the model are fully rational and conduct Bayesian learning, and they know that they do not know. Therefore, agents take into account that their beliefs will evolve according to what they will observe. This framework accommodates both gradual and abrupt changes in beliefs and allows for an analytical characterization of uncertainty. We use a prototypical Real Business Cycle model to illustrate the methods.     

Green start-ups and local knowledge spillovers from clean and dirty technologies

Small Business Economics - There is wide consensus about the importance of green technologies in achieving superior economic and environmental performances. However, the literature on their...     

Turbulence effects on dust explosion venting

The ability to estimate the intensity of accidental dust explosions is an essential prerequisite of methodologies intended to provide design guidelines for the protection of equipment and buildings where combustible dusts are being handled. In general, the severity of an explosion depends on the type of dust involved, its physical properties (such as particle size and moisture content), the characteristics of the interested volume (size, shape, presence of vents, and blockages), the strength and type of the ignition source, and the conditions of the environment (air flow, turbulence).     

Inequality and Europe 2020

The European Commission put forward its strategy for the 2010–2020 period in its Europe 2020 Communication. Inequality should be seen as a cornerstone of both sustainable and inclusive growth. In fact, unequal societies are also more unstable societies (i.e. unsustainable) and more polarised (i.e. exclusive). The analysis of available data and the established consensus in the literature shows four main stylised facts.     

Institutions Rule: The Primacy of Institutions Over Geography and Integration in Economic Development

We estimate the respective contributions of institutions, geography, and trade in determining income levels around the world, using recently developed instrumental variables for institutions and trade. Our results indicate that the quality of institutions trumps everything else. Once institutions are controlled for, conventional measures of geography have at best weak direct effects on incomes, although they have a strong indirect effect by influencing the quality of institutions. Similarly, once institutions are controlled for, trade is almost always insignificant, and often enters the income equation with the wrong (i.e., negative) sign. We relate our results to recent literature, and where differences exist, trace their origins to choices on samples, specification, and instrumentation.     

Disclosure as a tool in stakeholder relations management: a longitudinal study on the Port of Rotterdam

This study applies stakeholder management principles to the port domain. We provide a conceptual framework for evaluating the communication strategies a (landlord) Port Authority (PA) relies on in the management of its relevant stakeholders and the adoption of disclosure to critical issues. The theoretical arguments are supported by empirical evidences from the Port of Rotterdam (PoR), i.e. a major port which leverages disclosure to successfully manage stakeholders and support the implementation of corporate strategy. The research questions are addressed using a content analysis on the annual reports (ARs) of PoR in the period 2000–2012. The overall research design enables the investigation of PA disclosure as a tool for managing the evolving interests of stakeholders from a longitudinal perspective. The PoR case shows that the relative importance of topics reported in the ARs change over time, as a result of external pressures and internal key events. The outcomes demonstrate the growing attention of PoR on topics relevant to the broader community (e.g. environment and safety/security) after a period characterised by a prominent focus on financial and governance issues. Besides, key breakthrough forces stimulating the shifts in landlord communication strategies are identified and discussed. Finally, by suggesting an indirect approach to evaluate how PA prioritises its salient stakeholders, the paper adds to extant port literature and brings methodological implications.     

Product design strategies in technological shifts: An explorative study of Italian design-driven companies

This article analyzes the relationship between technological shift and product design strategies in the Italian lighting industry, where design players have experienced a discontinuous technological shift due to the introduction of LED (Light Emitting Diode) technology.     

CO‐INTEGRATING VAR MODELS AND ECONOMIC POLICY

This paper surveys some relevant contributions to the economic literature on co‐integrating vector autoregressive (VAR) models [vector error correction mechanisms (VECMs)], emphasizing their usefulness for economic policy. It further discusses some theoretical aspects that are necessary for a complete understanding of their potential. The theoretical introduction of the co‐integrating VAR model is followed by an illustration of its applications to monetary policy, fiscal policy and exchanges rates as well as in establishing the effects of structural bilateral shocks between countries (the so‐called global VAR, or GVAR, models). Special attention is paid to the VECM capacities of being used in conjunction with dynamic stochastic general equilibrium models and of jointly specifying the short‐ and long‐run dynamics, thus representing the steady‐state of economic systems (by means of the co‐integration relations) and the short‐run dynamics around it.     

Combination schemes for turning point predictions

We propose new forecast combination schemes for predicting turning points of business cycles. The proposed combination schemes are based on the forecasting performances of a given set of models with the aim to provide better turning point predictions. In particular, we consider predictions generated by autoregressive (AR) and Markov-switching AR models, which are commonly used for business cycle analysis. In order to account for parameter uncertainty we consider a Bayesian approach for both estimation and prediction and compare, in terms of statistical accuracy, the individual models and the combined turning point predictions for the United States and the Euro area business cycles.