Optimal strategies in linear multisector models: Value function and optimality conditions

In this paper we study an optimal control problem with mixed constraints related to a multisector linear model with endogenous growth. The main aim is to establish a set of necessary and a set of sufficient conditions which are the basis for studying the qualitative properties of optimal trajectories. The presence of possibly degenerate mixed constraints, the unboundedness and non-strict convexity of the Hamiltonian, make the problem difficult to deal with. We develop first the dynamic programming approach, proving that the value function is a bilateral viscosity solution to the associated Hamilton–Jacobi–Bellman (HJB) equation. Then, using our results, we give a set of sufficient and a set of necessary optimality conditions which involve so-called co-state inclusion: this can be interpreted as the existence of a dual path of prices supporting the optimal path.     

Existence of optimal strategies in linear multisector models with several consumption goods

In this paper, we give a sufficient and almost necessary condition for the existence of optimal strategies in linear multisector models when time is continuous.     

Performance measurement in universities: ambiguities in the use of quality versus quantity in performance indicators

Performance measurement (PM) is now common in Western universities. This is also the case in Finland, where a new funding scheme was implemented to ensure that quality was included in universities’ PM. However, this paper shows that the quality indicators in use are, in practice, quantitative. The paper is based on a large survey and has implications for university PM systems in Finland and internationally.     

Financial capital and banks in Hilferding and Sraffa: lessons for today

Rudolf Hilferding’s Das Finanzkapital dealt with the increasing role of finance in the German economy and the resulting structural transformations. The young Sraffa shared with Hilferding an interest on the role played by the banks in the transformation of capitalism. The relationship among banking and industrial capital implied different business models of the German and UK banks and determined the resulting domination of financial capital on the economy. We deepen the methodological and practical similarities and differences of the two scholars, discussing the aspects that are still relevant today to understand financialisation and instability of capitalism.     

Trust,risk and time preferences: evidence from survey data

The paper shows that time preferences and risk preferences are key covariates of self-reported trust. They both predict negatively a measure of generalized trust; however, risk aversion is positively correlated with an index of particularized trusting behaviour (which refers to the circle of known people).     

Tax competition for foreign direct investments and the nature of the incumbent firm

We investigate tax/subsidy competition for foreign direct investments (FDI) between countries of different size when a domestic firm is the incumbent in the largest market and we study how the nature (public or private) of the incumbent firm affects policy competition. We show that, differently from the case of a private firm, the country hosting the incumbent always benefits from FDI if the domestic firm is a public welfare‐maximizing firm. We also show that the public firm acts as a disciplinary device for the foreign multinational that will always choose the efficient welfare‐maximizing location. An efficiency‐enhancing role of policy competition may then arise only when the domestic incumbent is a private firm, whereas tax competition is always wasteful in the presence of a public firm.     

Institutions and geography: Empirical test of spatial growth models for European regions

This article provides an empirical assessment of the growth experiences of European regions, during the period 1991–2004, by taking into account the spatial effects due to both institutions and geography. These effects have been modelled by means of specific controls and by using a non-conventional spatial weight matrix. Results favour a model dealing with substantive spatial externalities. Within this framework, the country-specific institutions are strongly and positively related to the regional productivity's growth rate. In addition, the geo-institutional proximity increases the spatial dependence of the regional output per worker and raises the speed of convergence. By contrast, the pure geographical metrics is underperforming, while underestimating the convergence dynamics.     

Outsourcing and structural change. Application to a set of OECD countries

The examination in this paper aims to bridge outsourcing and structural change analyses in order to obtain more accurate insights into the extent of outsourcing and to extract more reliable policy recommendations for dealing with its effects. We do this by applying a ‘battery’ of outsourcing measurements to a group of OECD countries from 1980 to the mid 1990s. Expected results (e.g. the idiosyncratic outsourcing patterns of the UK) are confirmed on a more systematic and comparable basis, while original results (e.g. the low integration of business services in manufacturing in the former socialist economies) are based on the exploitation of new data.     

Forecasting monthly industrial production in real-time: from single equations to factor-based models

The aim of this paper is to analyze the performance of alternative forecasting methods to predict the index of industrial production in Italy from 1 to 3 months ahead. We use twelve different models, from simple ARIMA to dynamic factor models exploiting the timely information of up to 110 short-term indicators, both qualitative and quantitative. This allows to assess the relevance for the forecasting practice of alternative combinations of types of data (real-time and latest available), estimation methods and periods. Out-of-sample predictive ability tests stress the relevance of more indicators in disaggregate models over sample periods covering a complete business cycle (about 7 years in Italy). Our findings downgrade the emphasis on both the estimation method and data revision issues. In line with the classical “average puzzle”, the use of simple averages of alternative forecasts often improves the predictive ability of their single components, mainly over short horizons. Finally, selected indicators and factor-based models always perform significantly better than ARIMA models, suggesting that the short-run indicator signal always dominates the noise component. On this regard, selected indicators models can further increase the amount of signal extracted to improve up to 30–40% the short-run predictive ability of factor-based models and to forecast-encompass them.