Interregional Migration of Human Capital and Unemployment Dynamics: Evidence from Italian Provinces

Since the mid‐1990s interregional migration flows in Italy have dramatically increased, especially from the South to the North. These flows are characterized by a strong component of human capital, involving a large number of workers with secondary and tertiary education. Using longitudinal data for the period 2002–2011 at NUTS‐3 territorial level, we document that long‐distance (i.e., South‐North) net migration of high‐skill workers has increased the unemployment at origin and decreased it at destination, thus deepening North–South unemployment disparities. On the other hand, long‐distance net migration of low‐skill workers has had the opposite effect, by lowering the unemployment at origin and raising it at destination. Further evidence also suggests that the diverging effect of high‐skill migration dominates the converging effect of low‐skill migration. Thus, concerns for an ‘internal brain drain’ from Southern regions look not groundless.     

Individual Differences in the Disposition Effect

The authors model the role of personality traits in explaining the disposition effect building on realization utility theory and Big 5 model and moving from an aggregate level to interindividual differences. The experimental analysis, combining NEO Revised Personality Inventory measures with individual financial data from a trading simulation run by 230 individuals in China and Italy, shows that the disposition effect is driven by 2 distinct psychological processes, one related to holding losers and the other to selling winners. These 2 behavioral mechanisms are uncorrelated and influenced by different personality traits. Controlling for different demographic variables, the authors show (a) a greater sensitivity of the rewarding system that motivates “extroverts” to quickly sell the stock at gain to receive a burst of utility; (b) a tendency for “conscientious” subjects to suppress impulsivity, patiently waiting for higher cumulative returns; and (c) the importance of “openness to experience” to better value information to achieve higher outcomes.     

Business fluctuations and bankruptcy avalanches in an evolving network economy

We analyze the properties of a three-sector network economy characterized by credit relationships connecting downstream and upstream firms (inside credit) and credit relationships connecting firms and banks (outside credit). The network topology changes over time due to an endogenous process of partner selection (the preferred-partner choice rule). The output of simulations shows that a business cycle at the macroeconomic level can develop as a consequence of the complex interaction of the heterogeneous financial conditions of the agents involved. In this paper we focus on the emergence of bankruptcy crises: the bankruptcy of one agent can bring about the bankruptcy of one or more other agents in a snowball effect of more or less large size, depending on the network structure and the incidence of non-performing loans on balance sheets of agents involved.     

Bureaucracy,economic regulation,and the incentive limits of the firm

This paper uses a transactions cost perspective to examine the development of organizational tendencies that plague the governance of unregulated subsidiaries by regulated parent companies. By focussing on what Williamson (1985) calls the ‘incentive limits’ of firms, conditions that should exacerbate the problems facing these firms as they diversify are identified. Empirical testing of hypotheses drawn from this discussion is conducted using a sample of nonutility, nonregulated subsidiaries of 54 electric utilities. The analysis, using both linear regression and event history methods, confirms the connection between the characteristics of the regulated parent company and subsidiary performance. The paper concludes with a discussion of how further research might extend the state of knowledge on the topic of the economic losses of bureaucracy.     

Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier

The objective of this paper is to suggest the use of a stochastic frontier model in which the inefficiency component is heteroscedastic in the measurement of technical efficiency in Human Capital Formation in the Italian University System. The heteroscedastic frontier model enables one to consider the effect of students’ individual characteristics and the influences of the resources and organization of the specific faculty on efficiency. The suggested model is applied to the case of Florence University graduates. The results show that the model specification is strongly supported by the data. Moreover, the suggested specification explains variation in technical efficiency in terms of graduate-specific factors. The technical efficiency scores obtained are comparable across faculties.

Cocaine: The Complementarity Between Legal and Illegal Trade

I show that the decreased price of cocaine in its major destination markets is partly explained by a lower smuggling cost, which is itself the consequence of an increased international trade in legal goods. First, because more legal imports are associated with a bigger number of transporters and therefore with a bigger supply of potential drug smugglers. Second, because, as the number of legal shipments grows, the individual inspection probability decreases, lowering the risk born by the smugglers and thus their compensation. The cocaine market provides evidence of a complementarity between legal and illegal trade.     

Efficiency meets accountability: Performance implications of supply chain configuration, control, and capabilities

The public increasingly holds firms accountable for social and environmental outcomes, such as product toxicity problems and human rights violations, throughout their global supply chains. How can companies improve the social and environmental performance within their supply chains, particularly as other competitive pressures, such as cost and quality, continue to escalate? Starting from an efficient versus responsive supply chain framework, we develop an integrative model that blends together elements of supply chain configuration, stakeholder management, and capability development. Specifically, we spotlight the dimensions of control and accountability that collectively determine stakeholder exposure, and show how this new construct affects the linkages between supply chain capabilities, configuration, and performance. In particular, this analysis reveals that the nature of stakeholder exposure determines how social/environmental technical and relational capabilities impact social and environmental outcomes. We conclude with implications for research and practice, discussing how current supply chain theories must be extended to incorporate external stakeholders, to clarify strategies and identify potential pitfalls, and to better predict performance outcomes.     

Can social microblogging be used to forecast intraday exchange rates?

The Efficient Market Hypothesis (EMH) is widely accepted to hold true under certain assumptions. One of its implications is that the prediction of stock prices at least in the short run cannot outperform the random walk model. Yet, recently many studies stressing the psychological and social dimension of financial behavior have challenged the validity of the EMH. Toward this aim, over the last few years, internet-based communication platforms and search engines have been used to extract early indicators of social and economic trends. Here, we used Twitter’s social networking platform to model and forecast the EUR/USD exchange rate in a high-frequency intradaily trading scale. Using time series and trading simulations analysis, we provide some evidence that the information provided in social microblogging platforms such as Twitter can in certain cases enhance the forecasting efficiency regarding the very short (intradaily) forex.     

Voting on road congestion policy

This paper studies the political economy of urban traffic policy. A city council and a regional government (representing city and suburbs) decide respectively on parking fees and a road toll. Both charges are below the optimum when median voters in city and suburbs prefer cars to public transport sufficiently more than the average. Even if the city government would set an optimal road toll, the regional government blocks it when the median suburban voter prefers cars strongly enough. Letting the city control parking and road pricing may therefore increase chances of adoption of the latter. However, if the city controls parking and the region road pricing, the combined charges are higher than if the city controlled them both. Hence, when voters want all charges below the optimum, the involvement of two governments may be desirable. We also find that earmarking road pricing revenues for public transport is welfare-enhancing, compared to lump-sum redistribution, only if they are topped up by extra funds granted to the city by a higher level of government.