Change vs. decline: A comparative analysis of the evolution of TFP in Italian regions,with a particular attention to the case of Turin

Recently a debate emerged in Italy, about the changing pattern of specialization in the sectors traditionally considered as cornerstones of the national economy. Such changes are far from representing a hopeless process of decline. Rather this process should be regarded as a step in a process of structural change, in which one can find the ingredients of creative destruction. This leads to spell out the hypothesis that the Italian economy has been taking a new direction, rather than a dead-end. In this paper we carry out an analysis of the evolution of Total Factor Productivity in the different macro-sectors at the regional level, over the period 1982-2001. The results of the analysis confirm the existence of a generalized process of transition characterized by the growing weight of service sectors. Within the Piedmont region, the case of Turin is of paramount importance, as it has influenced the national economy since the early decades of the 20^th century. (JEL: O41, O47)     

Revisiting the case for a populist central banker

It is known that discretionary policy may give rise to an inflationary bias if wages are negotiated in nominal terms. In a recent issue of this Review, Guzzo and Velasco argued that this bias can be eliminated, and welfare maximized, by the appointment of a central banker who does not care at all about inflation (a ‘populist’ central banker). A conceptual flaw of the latter result is identified here. It is shown that when wages are negotiated in nominal terms the result is true only in the special case of a single, all-encompassing, union. In the more general case of multiple unions, however, inflation increases linearly with their number and a populist central bank may turn out to decrease welfare.     

Exploring efficient sets and equilibria on risky assets with APABO DSS prototype version 2.1

ABAPO 2.1 (Assets/Business(es) Analyser and Portfolio Optimizer) is a DSS prototype for portfolio managers. It assists the decision maker in two important stages of his task. First, it provides an integrated synthesis of the returns scenario in order to support the decision maker in the selection of the assets to retain, in accordance with his strategy. Second, on the retained assets it computes and shows the E- efficient solutions. For each efficient portfolio ABAPO supplies immediately a lot of information that should help the decision maker to single out the portfolio which fits his goals best.ABAPO works on an integration of elements derived from the Portfolio Selection Theory, the Capital Asset Pricing Model, the Utility Theory. ABAPO uses the principal component, the univariate, the bivariate regression and the correlation analysis, a parametric quadratic programming model and an algorithm based on the critical line method.ABAPO is implemented in C language under AIX operating system and runs on a IBM RT PC 6150. It is a ductile, interactive procedure that involves graphics in order to increase the efficiency and the effectiveness of the what if simulations.This version 2.1 improves upon the previous one by the evaluation of the Security Market Line, some statistics on the returns of the efficient portfolios, the evaluation of the quadratic indifference curves associated to the efficient portfolios.Research supported by the Italian National Research Council (CNR), grant n. 88.03065.10. ABAPO DSS 2.1 prototype has been developed with the support of the CNR (grant n. 87.1210.10), of the Banca Popolare di Verona, of the Cassa di Risparmio di Verona Vicenza e Belluno, of the Società Cattolica di Assicurazione, at the Istituto di Matematica, Università di Verona.     

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...     

Protecting Innovation Through Patents and Trade Secrets: Evidence for Firms with a Single Innovation

Abstract

This paper analyzes the use and effectiveness of patents and trade secrets designed to protect innovation. While previous studies have usually considered patents and trade secrets as substitutes for one another, we investigate to what extent and in what situations the two protection methods are used jointly. We identify protection strategies for single innovation firms and hence overcome the assignment problem of existing empirical studies, that is, whether firms using both protection methods do so for the same innovation or for different innovations. Employing firm panel data from Germany, we find fairly few differences between the determinants for choosing secrecy and patenting. Single innovators that combine both strategies, 39% of the group, tend to aim at a higher level of innovation and act in a more uncertain technological environment. Firms combining both protection methods yield significantly higher sales with new-to-market innovations, providing some evidence for a complementarity of the two protection methods.     

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.     

Performance pay and changes in U.S. labor market dynamics

A shift in the design of labor compensation occurred at around the mid-1980s in the U.S. and deals with an increased role of performance pay in driving the cyclical movements of wages. Using a DSGE model we show that this structural change accounts at least qualitatively for many observed changes in the U.S. labor market dynamics. It generates the disappearance of the procyclical response of labor productivity to non-technology shocks and the reduction of the contractionary effects of technology shocks on hours. Moreover, it is conducive to a drop in the volatility of output, a parallel increase in the volatility of wages and to changes in unconditional correlations consistent with what documented in the U.S. between the pre- and post-1984 periods.     

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.