Models with high dimensional sets of fixed effects are frequently used to examine, among others, linked employer-employee data, student outcomes and migration. Estimating these models is computationally difficult, so simplifying assumptions that are likely to cause bias are often invoked to make...

Existing tax schedules are often overly complex and characterized by discontinuities in the marginal tax burden. In this paper we propose a class of progressive smooth functions to replace personal income tax schedules. These functions depend only on three meaningful parameters, and avoid the...

Search Models of the labor market are widespread and influential but they usually ignore that labor market decisions are frequently taken at the household level. We fill this gap by developing and estimating an household search model with on-the-job search and labor supply. We build on previous...

Consider a setting where a treatment that starts at some point during a spell (e.g. in unemployment) may impact on the hazard rate of the spell duration, and where the impact may be heterogeneous across subjects. We provide Monte Carlo evidence on the feasibility of estimating the distribution...

We analyze to which extent social inequality aversion differs across nations when controlling for actual country differences in labor supply responses. Towards this aim, we estimate labor supply elasticities at both extensive and intensive margins for 17 EU countries and the US. Using the same...

Shifting taxes from labor income to consumption is regularly suggested as a measure to induce work incentives. We investigate the effect of increases in the Value Added Tax on labor supply and the income distribution in Germany, which is compensated by a revenue-neutral reduction in...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...

This paper investigates the role of testing and age-composition in the Covid-19 epidemic. We augment a standard SIR epidemiological model with individual choices regarding how much time to spend working and consuming outside the house, both of which increase the risk of transmission. Individuals...

During the last decade, economists have intensively searched for evidence on the importance of the Balassa-Samuelson (B-S) hypothesis in explaining nominal convergence. One general result is that B-S can at best explain only part of the excess inflation observed in the European catching-up...