EXTERNALITIES AGGREGATION IN NETWORK GAMES

We generalize the results on the monotonicity of equilibria for network games with incomplete information. We show that not only the distinction between strategic complements and strategic substitutes is important in determining the nature of the Bayesian Nash equilibria, but the nature of the statistic itself is also determinant. We show that understanding the underlying forces behind people's choices may be of fundamental importance for a policymaker that wants to incentivize efficient behavior.     

Intermediation Can Replace Certification

We consider a market in which consumers do not have perfect information about product quality. Producers can perfectly reveal that a good is of high quality through certification, which entails socially wasteful costs. Firms can choose whether to sell through an intermediary or to sell independently (vertical integration). We show that multibrand retailing, which leads to a redistribution of profits but not to social costs, can fully or partially replace certification by signaling product quality. Renting the image of a competing high-quality brand is shown to be an outcome that can be sustained through intermediation.     

Community structure in the World Trade Network based on communicability distances

In this paper, we investigate the mesoscale structure of the World Trade Network. In this framework, a specific role is assumed by short- and long-range interactions, and hence by any suitably defined network-based distance between countries. Therefore, we identify clusters through a new procedure that exploits Estrada communicability distance and the vibrational communicability distance, which turn out to be particularly suitable for catching the inner structure of the economic network. The proposed methodology aims at finding the distance threshold that maximizes a specific quality function defined for general metric spaces. Main advantages regard the computational efficiency of the procedure as well as the possibility to inspect intercluster and intracluster properties of the resulting communities. The numerical analysis highlights peculiar relationships between countries and provides a rich set of information that can hardly be achieved within alternative clustering approaches.

     

Identifying bank outputs and inputs with a directional technology distance function

The bank efficiency literature lacks an agreed definition of bank outputs and inputs. This is problematic given the long-standing controversy concerning the status of deposits, but also because bank efficiency estimates are known to be affected by the inclusion of additional outputs such as non-traditional (fee-based) activities or risk measures. This paper proposes a data-driven identification of bank outputs and inputs using the directional technology distance function. While previous applications of this tool used symmetric expansion or contraction directions, we focus on a set of orthogonal directions, each corresponding to an assumption on the input/output status of an individual variable. These directions correspond to a set of different specifications, whose estimated coefficients can be used to determine the input or output status of all variables except the regressand. Our empirical analysis revealed a very consistent pattern across the alternative specifications estimated. There is strong evidence that customer deposits are an input, and that non-performing loans are an important undesirable output. Finally, the orthogonal expansions/contractions we consider avoid the simultaneity problem raised by the “convenient normalization” commonly used to impose linear homogeneity in stochastic frontier estimation.     

Trade and revelation of information

We consider an economy with asymmetric information and two types of agents, fully informed and uninformed. Uninformed agents update their information observing equilibrium prices and the equilibrium levels of other agents’ excess demand. We show that, for a generic set of economies, there are rational expectations equilibria which are partially revealing on an open, dense set of signals of positive Lebesgue measure, provided that the dimension of the signal space is sufficiently larger than the dimension of the commodity space.     

The economic impact of digital technologies in Europe

This paper analyses the economic impact of digital technologies in Europe distinguishing between different stages/domains of the digitalization process. A set of composite Information and Communication Technologies (ICT) indicators is used for capturing the access to ICTs, the ability to use them and the digital empowerment of individuals in key social and economic domains. We argue that the mere accessibility to ICT facilities is only a pre-condition for moving towards a digitalized society, while the ‘level’ and the ‘quality’ in the use of these technologies, as well as the conditions facilitating or hampering digital empowerment, play a much more important role. Several transmission mechanisms from ICT access, usage and digital empowerment to key macro-economic variables (namely labour productivity, gross domestic product per capita, employment growth and the employment rate) are identified. The econometric evidence supports our hypotheses showing that the usage of ICT, and mostly digital empowerment, exert the major economic effects, especially on employment also favouring the inclusion of ‘disadvantaged’ groups in the labour market. We conclude that digitalization may drive productivity and employment growth and that inclusive policies may effectively contribute to bridge the gap between the most favoured and the disadvantaged parts of the population, thus helping in achieving the 2020 Europe targets.     

Policy uncertainty and aggregate fluctuations

This paper estimates the impact on the US economy of four types of uncertainty about (i) government spending, (ii) tax changes, (iii) public debt, and (iv) monetary policy. Uncertainty about government debt has a large and persistent effect on output, consumption, investment, consumer confidence, and business confidence. Uncertainty about tax changes also has detrimental consequences for real activity but the effect of spending and monetary policy uncertainty appears to be small. About 25% of output fluctuations are accounted for by policy uncertainty, with government debt making the largest contribution at longer horizons.     

Structural comparisons of networks and model-based detection of small-worldness

In this paper, we consider the problem of assessing the “level of small-worldness” of a graph and of detecting small-worldness features in real networks. After discussing the limitations of classical approaches, based on the computation of network indicators, we propose a new procedure, which involves the comparison of network structures at different “observation scales”. This allows small-world features to be caught, even if “hidden” deeply into the network structure. Applications of the procedure to both simulated and real data show the effectiveness of the proposal, also in distinguishing between different small-world models and in detecting emerging small-worldness in dynamical networks.     

Is the use of bank debt as a governance mechanism conditioned by the financial system? The cases of Chile and Spain

We test whether the use of bank debt as a governance mechanism is conditioned by the financial system in which firms operate. Our results indicate that the legal and institutional environment determines the use of bank debt to finance growth opportunities. Firms use bank debt to finance their growth opportunities when the country's banking system contributes to solving agency and asymmetric information problems and avoiding information monopoly costs. The evolutionary process of the financial systems in each country means that market imperfections such as information asymmetry or agency costs can have a diverse influence on firms’ bank debt decisions.     

From necessities to imaginary worlds: Structural change,product quality and economic development

In this paper we explore how innovation and structural change affected economic development in the long run, by which we mean a period such as the one between the industrial revolution and the present. We separate the period since the industrial revolution into two sub periods, which we call ‘necessities’ and ‘imaginary worlds’ and focus on three trajectories, increasing productive efficiency, increasing output variety, and increasing output quality and differentiation. In the paper we show how a combination of the three trajectories gave rise to the transition between ‘necessities’ and ‘imaginary worlds’ and propose a mechanism of economic development which could have given rise to the type of economic system which we can observe today. To create growing output quality and differentiation higher competencies were required. These higher competencies required higher levels of education and demanded higher wages, which contributed to raise consumers' purchasing power. These phenomena, combined with the income effect of the creation of new sectors, generated the disposable income with which consumers could purchase the new, higher quality, non necessities, goods and services generated by innovation. In the paper we study the impact of several model parameters on the stability of the virtuous circle previously described.