The Gendered Nature of Poverty in the EU: Individualized versus Collective Poverty Measures

Due to the adoption of the household as a unit of analysis, researchers have failed to identify accurate measures of women's income poverty. This study proposes an individualized measure of European poverty to highlight gender differences in the economic crisis. Employing data from the European Union Statistics on Income and Living Conditions (EU-SILC) for the period 2007–12, it compares the household-based at-risk-of-poverty rate (ARPR) and the individualized financial dependency rate (FDR). The study shows that the gender gap in poverty in Europe is considerably higher when computed through FDR. Indeed, since the ARPR constitutes a proxy of the household's average conditions, it levels down gender inequalities within the household and also variations in individuals’ incomes over time. Only more detailed data collection on intrahousehold resource sharing will possibly allow the development of more precise and realistic indicators of women's and men's risks of poverty and financial dependency.     

An application of nonparametric volatility estimators to option pricing

We discuss the impact of volatility estimates from high frequency data on derivative pricing. The principal purpose is to estimate the diffusion coefficient of an Itô process using a nonparametric Nadaraya–Watson kernel approach based on selective estimators of spot volatility proposed in the econometric literature, which are based on high frequency data. The accuracy of different spot volatility estimates is measured in terms of how accurately they can reproduce market option prices. To this aim, we fit a diffusion model to S&P 500 data, and successively, we use the calibrated model to price European call options written on the S&P 500 index. The estimation results are compared to well-known parametric alternatives available in the literature. Empirical results not only show that using intra-day data rather than daily provides better volatility estimates and hence smaller pricing errors, but also highlight that the choice of the spot volatility estimator has effective impact on pricing.     

Does sport make you happy? An analysis of the well‐being derived from sports participation

This paper examines the impact of sports participation upon the subjective well‐being of individuals. Encouraging participation in sports activity is now an important public policy issue, as it is argued that there are benefits in terms of health and well‐being to individuals as well as to society through externalities. Controlling for personal and socio‐demographic characteristics affecting well‐being, this paper examines if participation in, and the frequency and duration of, 67 sports activities affects well‐being. The form in which sports participation takes place is also investigated by examining if social‐interaction sports produce more well‐being. This paper demonstrates that sports participation has a positive affect upon the subjective well‐being of the population and, moreover, estimates its monetary value. The effects are larger if one allows for social interactions.     

Lab and framed lab versus natural experiments: Evidence from a risky choice experiment

Some recent papers have studied data from TV game shows to examine the behaviour of individuals towards risk. It is generally agreed that data from these shows are useful in detecting individual risk aversion in the field, with both “real life” subjects and incentives. Field experiments also include some interesting reality features that could affect individuals’ behaviour and possibly lead to different findings. This paper aims at investigating lab versus field evidence in risk taking attitudes, especially controlling for framing effects. To assess whether the behaviour of subjects in the field is consistent with that of experimental subjects, we designed an experiment to mimic (with experimental rewards and subjects) the rules of a well-known Italian TV game show, Affari Tuoi, in two different settings: a traditional lab setting, where the game was played individually (109 subjects) (Treatment 1); and a framed lab, in which the experiment was replicated in the Italian public television (RAI) studio where the show was actually recorded, with a smaller sample of undergraduate students (33) and in the presence of an audience (Treatment 2). Our comparison between the two different settings aims at establishing whether the presence of an audience, or of a situation that reproduces the stress that contestants must experience in the TV studio, can affect experimental subjects’ choices. We did not find any significant evidence of framing effects: students behave in a similar way in the two lab settings, responding essentially to incentives. Comparing the risk attitudes shown by experimental subjects in the two lab treatments with those exhibited by the contestants in the field, we found that contestants in the TV show are generally more risk averse than students in the lab.     

Tales of Motives in Bank M&As in Emerging Markets

For the past 12 years volatile waves of M&As and divestments in the banking sector were generated by numerous, but often similar motives. This article analyses the motives behind bank M&As regarding the acquirer's and the target's reasons and their perceived criteria of success or failure. The study has identified soft “irrational” factors such as bargain deals or excess cash, behind several economic motives such as synergies, survival, market penetration, or following the customer. Overall, the motives proved to be interconnected, allowing traceable further bank consolidation, especially during financial crisis, at the intercountry level. © 2013 Wiley Periodicals, Inc.     

Non-market valuation of forest goods and services: Good practice guidelines

The European COST Action E45 on European Forest Externalities (EUROFOREX) participants developed a set of good practice guidelines for the non-market valuation of forests, elaborating on stated and revealed preference methodologies, as well as benefit transfer and meta-analytical procedures. This article presents a summary of the guidelines.     

Biden’s Security Policy: Democratic Security or Democratic Exceptionalism?

Intereconomics - By emphasising the internal-external security nexus inherent in democratic security, the US could aspire again to lead through the example of its democracy’s resilience and...     

The pro-cyclicality of risk weights for credit exposures: Driven by the retail segment

This paper examines the pro-cyclicality of implicit risk weights of credit exposures and the potential contribution of accommodative monetary policy using data for the Czech Republic. The empirical results indicate that risk weights behave pro-cyclically under the IRB approach and acyclically under the STA approach. The pro-cyclical behaviour of IRB risk weights is caused primarily by the retail exposures, the strongest effects being in the highest and lowest quantiles of risk weights. The risk weights for retail exposures behave pro-cyclically not only with regard to the business cycle, but also with respect to the financial cycle and house price growth. In addition, monetary policy easing contributes to the pro-cyclicality in higher quantiles of risk weights.