Short-term inflation projections: A Bayesian vector autoregressive approach

In this paper we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro area that captures the complex dynamic inter-relationships between the main components of the Harmonized Index of Consumer Prices (HICP) and their determinants. The model generates accurate conditional and unconditional forecasts in real-time. We find a significant pass-through effect of oil-price shocks on core inflation and a strong Phillips curve during the Great Recession.     

The Role of Stocks and Shocks Concepts in the Debate Over Price Versus Quantity

Recent literature showed that the choice between a price or quantity control depends, in part, on the dynamic structure of cost uncertainty. Temporary shocks to abatement cost favors the use of a price control, while permanent shocks favor a quantity control. Unfortunately, the importance of this assumption to the optimal choice has not yet received wide attention among economists. We analyze the regulatory sproblem in an alternative setting and reproduce these results. Our contribution is the simplicity of the model and the accessibility of the results, which reinforce the critical role played by the assumed structure of uncertainty.     

Influence of tourist sector structure on motivations of heritage tourists

Cultural tourism has traditionally been approached in terms of its appeal to visitors wishing to find out about or get involved in places or to extend their education or to enjoy historical buildings and heritage managed for tourism. This is tourism that has most encouraged activities to preserve the environment and historical/artistic heritage, getting away from mass tourist models, destination impact and seasonality. The aim of this study is to develop a model to identify the elements that help modify the cultural tourist's motivations: the structure of the tourism industry (enterprise infrastructure factors, city infrastructure factors, tourist mobility and tourist resources) and value for money. The use of partial least square method allows us to confirm the proposed correlations and to validate a model.     

Lundberg parameters for non standard risk processes

We consider risk processes with delayed claims in a Markovian environment, and we study the asymptotic behaviour of finite and infinite horizon ruin probabilities under the small claim assumption. We also consider multivariate risk processes of the same kind, and we give upper and lower bounds for the Lundberg parameters of the corresponding total reserve. Our results have strong analogies with those one in the paper by Juri (Super modular order and Lundberg exponents, 2002).     

Optimierte Integration der Elektromobilität in das Stromversorgungssystem bei hohen Anteilen erneuerbarer Energien

Electric mobility will play a key role for the transformation of the energy supply in Germany [the “Energiewende”]. A successful market development of plug-in hybrids and battery electric vehicles and a full fleet penetration in the long-term are the most efficient and effective measure for integrating large amounts of renewable energy into the transport sector and for reaching the efficiency targets. These new electricity consumers in the supply system will cause additional electricity loads strongly dependent on the mobility needs of the vehicle users. A controlled battery charging is able to avoid new peak demands and to increase the efficiency of the power generation system by using excess power. By scenario analysis, the German Aerospace Center (DLR) in cooperation with the Fraunhofer Institute for Solar Energy Systems (ISE) and the Institute for High Voltage Technology of the RWTH Aachen investigated a possible successful development path of electric mobility in Germany and its integration into and interaction with the future power supply system. From both perspectives—the one of the total supply system as well as the other of local distribution grids—the results show promising potentials but also limits.     

Throwing good money after bad

An “investment bubble” is a period of “excessive, and predictably unprofitable, investment” (DeMarzo et al. in J Financ Econ 85:737–754, 2007). Such bubbles most often accompany the arrival of some new technology, such as the tech stock boom and bust of the late 1990s and early 2000s. We provide a rational explanation for investment bubbles based on the dynamics of learning in highly uncertain environments. Objective information about the earnings potential of a new technology gives rise to a set of priors or a belief function. A generalised form of Bayes’ rule is used to update this set of priors using earnings data from the new economy. In each period, agents—who are heterogeneous in their tolerance for ambiguity—make optimal occupational choices, with wages in the new economy set to clear the labour market. A preponderance of bad news about the new technology may nevertheless give rise to increasing firm formation around this technology, at least initially. To a frequentist outside observer, the pattern of adoption appears as an investment bubble.     

Predicting U.S. recessions through a combination of probability forecasts

Recently De Luca and Carfora (Statistica e Applicazioni 8:123–134, 2010) have proposed a novel model for binary time series, the Binomial Heterogenous Autoregressive (BHAR) model, successfully applied for the analysis of the quarterly binary time series of U.S. recessions. In this work we want to measure the efficacy of the out-of-sample forecasts of the BHAR model compared to the probit models by Kauppi and Saikkonen (Rev Econ Stat 90:777–791, 2008). Given the substantial indifference of the predictive accuracy between the BHAR and the probit models, a combination of forecasts using the method proposed by Bates and Granger (Oper Res Q 20:451–468, 1969) for probability forecasts is analyzed. We show how the forecasts obtained by the combination between the BHAR model and each of the probit models are superior compared to the forecasts obtained by each single model.     

Product and destination mix in export markets

This article studies the joint destination and product strategies of exporters, using the universe of export transactions for firms located in Portugal in the period 1995–2005. The article breaks down the annual growth rate of total exports along different margins and details choices made by multi-product, multi-destination firms regarding their export portfolio. In addition, the article looks at similar features for the subsample of new exporters. We find that both the firm-level extensive and intensive margins are important in driving the year-to-year variation in aggregate exports. However, variation over time in the sales of continuing exporters is mainly driven by their sales in continuing destinations. In addition, a product’s export tenure within a firm varies largely across currently exported products in the context of an intense activity of product and destination switching. Moreover, the higher the importance of a product, the more its sales are concentrated in the firm’s top destination. Finally, the article finds that, while continuing exporters enter new markets mainly by selling old products, new exporters access new destinations mainly by exporting new products.