Using a structural dynamic programming model, we investigate the relative importance of family background variables and individual specific abilities in explaining cross-sectional differences in schooling attainments and wages. Each type of ability is the sum of one component correlated with...

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...

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 formulate and estimate a structural, static model of household labor supply and multiple welfare program participation. Given the complicated nature of both the income tax schedule and the benefit rules for different welfare programs, we use a detailed micro simulation model to generate...

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...