Sweet and Sour Changes in Trade Regimes

Sugar is an important export for a number of developing countries, especially in the African, Caribbean and Pacific regions. In many of these countries, preferential access to the EU market has been a key factor to develop their sugar sectors. The recent and proposed changes to the international sugar trade regimes, particularly in the EU, are threatening this preferential access. We study the possible implications of such changes on ACP countries’ sugar production and exports by using a spatial price equilibrium model specifically developed for the sugar market. The results suggest that the effects of these changes are likely to vary according to the prevailing level of world sugar market price and according to whether ACP countries are current exporters to the EU.     

Ethical Judgment and Radical Business Changes: The Role of Entrepreneurial Perspicacity

Journal of Business Ethics - This study examines the implications of practical reason for entrepreneurial activities. Our study is based on Thomas Aquinas’ interpretation of such virtue, with...     

Implementation of voting operators

We show that a theory of implementation can be developed in the Aizerman–Aleskerov framework, capturing the main ideas regarding Nash implementation in the Arrovian case. In fact we obtain the counterparts of the results of [Maskin, E., 1977. Nash Equilibrium and Welfare Optimality. MIT, Mimeo] and [Moore, J., Repullo, R., 1990. Nash implementation. A full characterization. Econometrica 58, 1038–1100] in the new framework.     

Training and organisational innovations in a local industrial system: empirical evidence from Emilia‐Romagna1

The article studies the driving forces of firm training using a survey‐based dataset of manufacturing firms in the Emilia‐Romagna region, Northern Italy. The data are derived from the responses to a structured questionnaire administered in 2002 to the management of a representative sample of firms with more than 50 employees in the highly industrialised province of Reggio Emilia. Firms’ training choices are analysed using a theoretical/conceptual framework based on the notion of complementarity among productive factors. Training is provided as long as it favours the establishment of complementary relationships among the skills it develops and other inputs. The main factors associated with training include structural characteristics, HRM practices, workforce features, labour management and performance of the firm. Training activities emerge as being positively associated with organisational practices that affect the whole firm: workforce skill level, firm size, firm productivity and labour flexibility. The role of HRM practices in driving training is brought into question. These are key issues for the current debate on the development of local systems in the European and Italian context. The high and joint relevance of structural variables and labour demand‐related factors shows that regional industrial policies must support labour policies within an integrated policy effort aimed at increasing potential firm productivity.     

Optimal Monetary Policy with Price and Wage Rigidities

In this paper, I search for an optimal configuration of parameters for variants of the Taylor rule by using an accurate second‐order welfare‐based method within a fully microfounded dynamic stochastic model, with price and wage rigidities, without capital accumulation. A version of the model with distortionary taxation is also explicitly tested. The model is solved up to second‐order solution. Optimal rules are obtained by maximizing a conditional welfare measure, differently from what has been done in the current literature. Optimal monetary policy functions turn out to be characterized by inflation targeting parameter lower than in empirical studies. In general, the optimal values for monetary policy parameters depend on the degree of nominal rigidities and on the role of fiscal policy. When nominal rigidities are higher, optimal monetary policy becomes more aggressive to inflation. With a tighter fiscal policy, optimal monetary policy turns out to be less aggressive to inflation. Impulse‐response functions based on second‐order model solution show a non‐affine pattern when the economy is hit by shocks of different magnitude .     

DO WE REALLY NEED BOTH BEKK AND DCC? A TALE OF TWO MULTIVARIATE GARCH MODELS

Abstract The management and monitoring of very large portfolios of financial assets are routine for many individuals and organizations. The two most widely used models of conditional covariances and correlations in the class of multivariate GARCH models are BEKK and dynamic conditional correlation (DCC). It is well known that BEKK suffers from the archetypal ‘curse of dimensionality’, whereas DCC does not. It is argued in this paper that this is a misleading interpretation of the suitability of the two models for use in practice. The primary purpose of this paper is to analyse the similarities and dissimilarities between BEKK and DCC, both with and without targeting, on the basis of the structural derivation of the models, the availability of analytical forms for the sufficient conditions for existence of moments, sufficient conditions for consistency and asymptotic normality of the appropriate estimators and computational tractability for ultra large numbers of financial assets. Based on theoretical considerations, the paper sheds light on how to discriminate between BEKK and DCC in practical applications.     

Macroeconomic Effects of Precautionary Demand for Oil

We evaluate the macroeconomic effects of shocks specific to the oil market, which mainly reflect fluctuations in precautionary demand for oil driven by uncertainty about future supplies. A two‐stage identification procedure is used. First, daily changes in the futures–spot price spread proxy for precautionary demand shocks and the path of oil prices is estimated. This information is then exploited to restrict the oil price response in a vector autoregression. Impulse responses suggest that such shocks reduce output and raise prices. Historical decomposition shows that they contributed significantly to the US recessions in the 1990s and in the early 2000s, but not to the most recent slump. Copyright © 2014 John Wiley & Sons, Ltd.     

Why do (or did?) banks securitize their loans? Evidence from Italy

This paper investigates the ex ante determinants of bank loan securitization by using different econometric methods on Italian individual bank data from 2000 to 2006. Our results show that bank loan securitization is a composite decision. Banks that are less capitalized, less profitable, less liquid and burdened with troubled loans are more likely to perform securitization, for a larger amount and earlier.     

Bayesian VARs: Specification Choices and Forecast Accuracy

In this paper we discuss how the point and density forecasting performance of Bayesian vector autoregressions (BVARs) is affected by a number of specification choices. We adopt as a benchmark a common specification in the literature, a BVAR with variables entering in levels and a prior modeled along the lines of Sims and Zha (International Economic Review 1998; 39 : 949–968). We then consider optimal choice of the tightness, of the lag length and of both; evaluate the relative merits of modeling in levels or growth rates; compare alternative approaches to h‐step‐ahead forecasting (direct, iterated and pseudo‐iterated); discuss the treatment of the error variance and of cross‐variable shrinkage; and assess rolling versus recursive estimation. Finally, we analyze the robustness of the results to the VAR size and composition (using also data for France, Canada and the UK, while the main analysis is for the USA). We obtain a large set of empirical results, but the overall message is that we find very small losses (and sometimes even gains) from the adoption of specification choices that make BVAR modeling quick and easy, in particular for point forecasting. This finding could therefore further enhance the diffusion of the BVAR as an econometric tool for a vast range of applications. Copyright © 2013 John Wiley & Sons, Ltd.