We estimate a dynamic programming model of schooling decisions in which the degree of risk aversion can be inferred from schooling decisions. In our model, individuals are heterogeneous with respect to school and market abilities but homogeneous with respect to the degree of risk aversion. We...

We estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function is set in a random coefficient framework. The model allows for absolute and comparative advantages in the labour market and assumes that the population is composed of eight...

While confounding factors typically jeopardise the possibility of using observational data to measure peer effects, field experiments offer the possibility of obtaining clean evidence. In this Paper we measure the output of four randomly selected groups of individuals who were asked to fill...

The prevalence of shirking within a large Italian bank appears to be characterized by significant regional differentials. In particular, absenteeism and misconduct episodes are substantially more prevalent in the south. We consider a number of potential explanations for this fact: different...

In this Paper, we formulate and estimate a structural, static model of household labour supply and multiple welfare programme participation. Given the complicated nature of both the income tax schedule and the benefit rules for different welfare programmes, we use unique access to a very...

Gender Based Taxation (GBT) satisfies Ramsey’s optimal criterion by taxing less the more elastic labour supply of (married) women. This holds when different elasticities between men and women are taken as exogenous and primitive. But in this paper we also explore differences in gender...

Wages may be observed to increase with seniority because of firm-specific human capital accumulation or because of self-selection of better workers in longer jobs. In both these cases the upward sloping wage profile in cross-sectional regressions would reflect higher productivity of more senior...