By inverting Saez (2002)'s model of optimal income taxation, we characterize the redistributive preferences of the Irish government between 1987 and 2005. The (marginal) social welfare function revealed by this approach is consistently comparable over time and show great stability despite...

By inverting Saez (2002)'s model of optimal income taxation, we characterize the redistributive preferences of the Irish government between 1987 and 2005. The (marginal) social welfare function revealed by this approach is consistently comparable over time and show great stability despite...

The systems of direct taxes and cash benefits in the Member States of the European Union vary considerably in size and structure. We explore their direct impacts on cross-sectional income inequality (termed redistributive effect for the purpose of this paper) using EUROMOD, a tax-benefit...

To analyze the effect of health on work, many studies use a simple self-assessed health measure based upon a question such as do you have an impairment or health problem limiting the kind or amount of work you can do? A possible drawback of such a measure is the possibility that different groups...

Whether observed differences in redistributive policies across countries are the result of differences in social preferences or efficiency constraints is an important question that paves the debate about the optimality of welfare regimes. To shed new light on this question, we estimate labor...

We analyze the optimal regional pattern of public employment in an information-constrained second-best redistribution policy showing that regionally differentiated public employment can serve as an expenditure side tagging device, bypassing or relaxing the equity-efficiency trade-off. The...

This paper examines the role of the sociocultural background of students for choosing STEM fields in university. We combine rich survey data on university graduates in Switzerland with municipality level information from the census as well as nationwide elections and referenda to characterize a...