Do Institutions and Culture Matter for Business Cycles?

We examine the relationship between cyclical fluctuations and macroeconomic, institutional, and cultural indicators for 46 countries from Europe and the Mediterranean basin. In the Mediterranean cycles are different: the duration of expansions is shorter; the amplitude of recessions is larger; and cyclical synchronization is smaller than elsewhere. Differences in cultural indicators have strong and significant associations with differences in the persistence and volatility of cyclical fluctuations and their synchronization.     

Assessing financial distress dependencies in OTC markets: a new approach using trade repositories data

In this paper, we study the relationships among financial market sub-segments as a way to identify potential financial distress through increased co-movements among them. To study how sub-markets are mutually co-dependent, we combine granular data on over-the-counter derivatives by trade repositories and the joint probability of distress (JPoD) approach introduced by the International Monetary Fund. We define an indicator that combines several distress drivers and observe that results on co-dependencies are similar to those that would be expected: similarities between financial and contractual terms seem to be responsible for stronger co-movements among sub-markets. However, high values for JPoD even in correspondence of quite dissimilar sub-markets suggest the presence of other drivers that should be investigated in future research. To the best of our knowledge, this is the first empirical study on systemic risk assessment based on micro-founded trade repositories’ data on interest rate swaps.     

Business cycle measurement with some theory

A method to evaluate cyclical models not requiring knowledge of the DGP and the exact specification of the aggregate decision rules is proposed. We derive robust restrictions in a class of models; use some to identify structural shocks in the data and others to evaluate the class or contrast sub-models. The approach has good properties, even in small samples, and when the class of models is misspecified. The method is used to sort out the relevance of a certain friction (the presence of rule-of-thumb consumers) in a standard class of models.     

Insurance fraud detection: A statistically validated network approach

Fraud is a social phenomenon, and fraudsters often collaborate with other fraudsters, taking on different roles. The challenge for insurance companies is to implement claim assessment and improve fraud detection accuracy. We developed an investigative system based on bipartite networks, highlighting the relationships between subjects and accidents or vehicles and accidents. We formalize filtering rules through probability models and test specific methods to assess the existence of communities in extensive networks and propose new alert metrics for suspicious structures. We apply the methodology to a real database—the Italian Antifraud Integrated Archive—and compare the results to out-of-sample fraud scams under investigation by the judicial authorities.     

Free‐riding in multi‐party alliances: The role of perceived alliance effectiveness and peers' collaboration in a research consortium

Research summary : Multi‐party alliances rely on partners' willingness to commit and pool their efforts in joint endeavors. However, partners face the dilemma of how much to commit to the alliance. We shed light on this issue by analyzing the relationship between partners' free‐riding—defined as their effort‐withholding—and their perceptions of alliance effectiveness and peers' collaboration. Specifically, we posit a U‐shaped relationship between partners' subjective evaluations of alliance effectiveness and their free‐riding. We also hypothesize a negative relation between partners' perceptions of the collaboration of peer organizations and their free‐riding. Results from a mixed‐method study—combining regression analysis of primary data on a major inter‐organizational research consortium and evidence from two experimental designs—support our hypotheses, bearing implications for the multi‐party alliances literature. Managerial summary : Free‐riding is a major concern in multi‐party alliances such as large research consortia, since the performance of these governance forms hinges on the joint contribution of multiple partners that often operate according to different logics (e.g., universities, firms, and government agencies). We show that, in such alliances, partners' perceptions have relevant implications for their willingness to contribute to the consortium's shared goals. Specifically, we find that partners free‐ride more—that is, contribute less—when they perceive the effectiveness of the overall alliance to be either very low or very high. Partners also gauge their commitment to the alliance on the perception of the effort of their peers—that is, other organizations similar to them. These findings provide managers of multi‐party alliances with additional levers to motivate partners to contribute fairly to such joint endeavor. Copyright © 2015 John Wiley & Sons, Ltd.     

The collective voice of unions and workplace training in Italy: New insights from mixed methods

Using a three-phase approach that combines quantitative (pooled OLS, fixed effects and IV) with qualitative (semi-structured interviews) analyses, we find that in Italy, workplace unions are more likely to enhance training when they sign a firm-level agreement and when they can get access to external funds for financing. We also identify three channels: what we call a ‘maturation effect’, double-track communication and watch-dog function. We argue that these results are consistent with the idea that the impact of workplace unions on training depends on the empowerment of its collective voice within an institutional framework that does not fit either of the standard models provided by collective and liberal market economies.     

Coherent Distortion Risk Measures and Higher-Order Stochastic Dominances

Abstract

We show that the only coherent distortion risk measure that is consistent with respect to 3-convex order and hence with stochastic dominance of order 3 is the expected value, thus generalizing previous results of Hurlimann and solving a problem posed by Yamai and Yoshiba.     

Debt Maturity: Is Long‐Term Debt Optimal?

We model and calibrate the arguments in favor and against short-term and long-term debt. These arguments broadly include: maturity premium , sustainability, and service smoothing. We use a dynamic-equilibrium model with tax distortions and government outlays uncertainty, and model maturity as the fraction of debt that needs to be rolled over every period. In the model, the benefits of defaulting are tempered by higher future interest rates. We then calibrate our artificial economy and solve for the optimal debt maturity for Brazil as an example of a developing country and the US as an example of a mature economy. We obtain that the calibrated costs from defaulting on long-term debt more than offset costs associated with short-term debt. Therefore, short-term debt implies higher welfare levels.     

Modelling tourism flows through gravity models: a quantile regression approach

Gravity models are widely used to study tourism flows. The peculiarities of the segmented international demand for agritourism in Italy are examined by means of a novel approach: a panel data quantile regression. We characterize the international demand for Italian agritourism with a large data set, by considering data of 33 countries of origin, from 1998 to 2010. Distance and income are the major determinants, but we also found that mutual agreements and high urbanization rates in countries of origin are associated with larger flows of incoming tourists.     

Warning labels on junk food: experimental evidence

Unhealthy food choice is one of the main causes of being overweight. Nutritionists blame a particular category of food: junk food. Several authors have proposed a fat tax for reducing the junk food demand, but others have demonstrated that these taxes must be very high in order to be effective. Therefore, a warning label about calorie content may be an alternative way to reduce the consumption of junk food. In this exploratory study, using students as respondents, a high‐calorie warning label is explored with an incentive compatible valuation method. The results indicate that a high‐calorie warning label has little effect on respondents’ choices, even when they have no prior familiarity with the food.