Suchergebnisse

We analyse the wage gap between temporary and permanent jobs in nine European countries using a semiparametric approach and evaluate the wage gap across the entire wage distribution. We show that in some countries the fixed‐term wage gap decreases as higher quantiles are considered, and that having a fixed‐term contract penalizes more workers located at the bottom of the earnings distribution. We find also that workers with the same characteristics as temporary workers would receive higher wages if they worked on permanent contracts in almost all the countries considered, and that this finding is stable across the entire wage distribution.

The aim of this study is to provide an estimate of the social costs of gambling in Italy. In line with other research on social costs, the present study estimates the consequences of gambling harm on public finances, focusing on the estimated costs to treat high-risk gamblers, costs associated with productivity losses, costs of unemployment, personal and family costs, crime and legal costs. We used two different approaches to calculate these costs. The first approach, used for health care costs, consists of using the lump sum spent to prevent the harm caused to high-risk gamblers. The second approach involves estimating the number of high-risk gamblers causing the cost, which is then multiplied with the average unit cost per person. Our estimates of the annual social costs of gambling in Italy – more than EUR 2.3 billion – demonstrate a substantial economic burden to society. However, the costs are a substantial underestimate, as they are limited to those of a public nature and do not take into consideration those costs borne by moderate and low-risk gamblers, as well as affected others.

This article provides a detailed and robust estimate of the impact of three different digital technologies (interactive whiteboards, wireless connections, and mobile devices) on Italian language and mathematics performance in lower secondary schools in Italy. Our analysis of longitudinal data from 2010 to 2014 shows that no significant effects emerge at a national level from increased stocks of any of the three technologies, confirming the existing literature. However, when controlling for geographical area, we show that all three technologies had a positive effect on mathematics results in the north of Italy, with a detrimental effect in the south. We find that the positive effect in the north was driven by low‐attaining schools, while the negative impact in the south was driven by higher attaining schools. No effects were found on Italian language performance, except for a slightly positive impact in the lowest‐achieving schools in all geographical areas. The significance of these results is discussed with regards to future public intervention and research in this field.

ABSTRACTAccording to the standard principal‐agent model, the optimal composition of pay should balance the provision of incentives with the individual demand for insurance. Do income taxes alter this balance? We show that the relative share of Performance‐related pay (PRP), on total pay is reduced by higher average and marginal income taxes. Empirical evidence based on the British Household Panel Survey is consistent with the theoretical predictions of the tax–augmented principal‐agent model. Our estimates suggest that a 10% reduction in the marginal income tax rate, holding the average tax rate constant, increases the share of PRP in total pay by 2.25–3.02%, depending on the empirical specification. Similarly, a 10% reduction in the average income tax rate, holding the marginal tax rate constant, increases the share of PRP in total pay by 5.10–5.27%.

We use the variation of training policy over time and across Italian regions to identify the relationship between individual training and earnings. Using longitudinal data for the period 1999 to 2005, we find that the marginal effect of one additional week of formal training on monthly earnings is 4.4 percent. This effect declines rapidly over time and is equal to 0.86 percent 10 years after the investment. We also find that marginal returns are higher among small firms, which are more likely to be constrained by lack of economic resources in their training decisions. Since small firms train less than large firms, their higher returns from the training induced by training policies can simply reflect decreasing marginal returns to training.