Real Exchange Rate Misalignments in the Euro Area

Open Economies Review - Building upon a Behavioural Equilibrium Exchange Rate model, estimated at a quarterly frequency since 1999 on a broad sample of 57 countries, this paper assesses both the...     

Enablers for end‐user entrepreneurship: An investigation on Italian food bloggers

This article examines unconventional entrepreneurship (accidental or end‐user entrepreneurs) to determine whether the decision‐making phase of the entrepreneurial process is collective. The analysis identified a virtuous circle that links knowledge, innovation, judgment, and decision making to collective interactions built on passion, experience, and sharing. To study food bloggers as unconventional user entrepreneurs, data were collected and analyzed using netnographic analysis. A supplementary online survey of food bloggers and their followers was also performed. Three groups of food bloggers are identified: amusing, functional, and fervent. Only fervent food bloggers, thanks to the virtuous circle built on passion, experience, and sharing as enablers, can be considered accidental or end‐user entrepreneurs.     

Influence of perceived risk on entrepreneurial desirability and feasibility: multidimensional approach for nascent entrepreneurs

This study examines the influence of perceived risk on entrepreneurial desirability and feasibility as determining factors in the intention to start a self-owned business. Specifically, a multidimensional approach is taken to examine the different types of risks associated with entrepreneurship: economic, social, time, health and personal risks. The results obtained from a sample of 376 new entrepreneurs in Mexico confirm the fact that the perceived desirability and feasibility have a significant and positive effect on the intentions to start their own company. On one hand, the empirical evidence obtained shows a heterogenic effect of the risk dimensions associated with entrepreneurship on the perceived desirability and feasibility in their behaviour. Therefore, it was found that the economic risk associated with entrepreneurship has a negative effect on the feasibility to start a business, but does not significantly influence the desirability of that behaviour. On the other hand, a significant effect from the risk related to health is not seen on desirability and feasibility, but the negative influence of personal risk is empirically supported for both variables. Finally, the results obtained related to social and time risk are contradictory. Social risk negatively influences entrepreneurship desirability, but a positive effect is observed on the feasibility to create a business. For its part, the empirical evidence obtained does not support any effect of the time risk on the perceived feasibility of starting a business, but there is a positive on entrepreneurship desirability. These results, which are contrary to the traditional concept of risk as a barrier to entrepreneurship, are justified by the vocational nature of this behaviour and by the social sacrifices that are sometimes necessary to be able to make a business work.     

Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

Monotone dependence in graphical models for multivariate Markov chains

We show that a deeper insight into the relations among marginal processes of a multivariate Markov chain can be gained by testing hypotheses of Granger noncausality, contemporaneous independence and monotone dependence. Granger noncausality and contemporaneous independence conditions are read off a mixed graph, and the dependence of an univariate component of the chain on its parents—according to the graph terminology—is described in terms of stochastic dominance criteria. The examined hypotheses are proven to be equivalent to equality and inequality constraints on some parameters of a multivariate logistic model for the transition probabilities. The introduced hypotheses are tested on real categorical time series.     

Gibrat’s Law with Mild Nonrandom Growth

Gibrat’s Law (GL) has repeatedly failed to gain full empirical confirmation in specific industries. This study offers a deliberately favorable opportunity for full confirmation in the truckload sector of the U.S. trucking industry where firms are highly homogeneous. As such, most nonrandom determinants of growth remain very similar for all firms, so significant differences in growth rates are not expected. Still, there is only incomplete support: (1) long term growth rates are not equal for all firms, but the differences are small and not size-related except for the smallest firms, and (2) the size distributions better approximate lognormal when the smallest firms are excluded, but in no case does the variance rise over time. This suggests that for most other industries, where nonrandom growth should be much stronger, GL would seem unlikely to play more than a minor role in portraying actual firm growth or the evolution of market structure.     

A trucker's dilemma: Managerial behavior under an operating-ratio standard

A model of an individually regulated trucking firm is extended to reflect collective regulation by the operating-ratio method as conducted for many years by the ICC. The game-theoretic extension predicts that managers will not respond to a required operating ratio, in cartel-like manner, by increasing expenses in pursuit of higher profit. This result undermines the Commission's stated belief that an operating-ratio standard, even when applied collectively, imparted such an incentive. An empirical test supports the conclusion that tighter regulation, measured by higher achieved operating ratios, did not invite increased employment of the variable factors. On the contrary, tighter regulation is found inversely related to the employment of all factors and, implicitly, to industry output. Deregulation of entry and rates was thus a more likely source of improved managerial efficiency than merely switching from an operating ratio to a return-on-equity standard, as tbe Commission did in 1978.     

The spatial sorting and matching of skills and firms

Abstract .  In this paper we make use of a matched employer-employee database for Italy to look at the spatial distribution of wages. Using this rich database we aim to open up the black box of agglomeration economies exploiting the micro dimension of interaction among economic agents, both individuals and firms. We provide evidence that firm size and, especially, skills are sorted across space and account for a large portion of the spatial wage variation. Our data also support the assortative matching hypothesis, which we show not to be driven by co-location of good workers and firms. Finally, we point out that assortative matching is negatively related to local market size.     

New development: Managing the Covid-19 pandemic—from a hospital-centred model of care to a community co-production approach

ABSTRACT

Covid-19 is not only a crisis of intensive care but a social and humanitarian crisis. Until mass vaccination is undertaken, control of contagion will rely on responsible behaviour by citizens. Strategies for fighting Covid-19 in different regions of Italy have shown that an area-specific approach, not just hospital-focused, pays off. This article proposes a community co-production approach, in the light of discussions with politicians and key health decision-makers and actors.     

Agrarian landscapes: from marginal areas to cultural landscapes—paths to sustainable tourism in small villages—the case of Vico Del Gargano in the club of the Borghi più belli d’Italia

Quality & Quantity - The territory of Gargano is recognized for its stunning landscapes and the ecological variety of its natural spaces, both within the boundaries of the National Park and...