This doctoral thesis analyses the impact of education and other determinants on labour market outcomes using microeconometric methods. Chapter 1 serves as an introduction. Chapter 2 uses a randomised field experiment among German human resource managers to evaluate which skill signals such as...

This paper studies the role of worker learning in a labor market where workers have incomplete information about the quality of their employment match. The amount of information about the quality of a new match depends on a worker’s past job experience. Allowing workers to learn from...

The Global Repository of Income Dynamics (GRID) is a new open-access, cross- country database that contains a wide range of micro statistics on income in- equality, dynamics, and mobility. It has four key characteristics: it is built on micro panel data drawn from administrative records; it...

We characterize the salient features of the distribution of (log) earnings of formal workers in Mexico using social security records for the period 2005-2019. The analysis is based on a nonparametric approach and is focused primarily on the properties of the distribution of earnings changes. We...

This paper proposes a new approach to estimate task prices per efficiency unit of skill in the Roy model. I show how the sorting of workers into tasks and their associated wage growth can be used to identify changes in task prices under relatively weak assumptions. The estimation exploits the...

This paper introduces a maximum likelihood estimator of the value of job amenities and labor productivity in a single matching market based on the observation of equilibrium matches and wages. The estimation procedure simultaneously fits both the matching patterns and the wage curve. While our...

We set up a model with on-the-job search in which firms infrequently post vacancies for which workers occasionally apply. The model nests the standard job ladder and stock-flow models as special cases, while remaining analytically tractable and easy to estimate from standard panel data sets. The...

Lea Immel prepared this study while she was working at the Research Group Taxation and Fiscal Policy at the ifo Institute. The study was completed in September 2020 and accepted as doctoral thesis by the Department of Economics at the University of Munich. It consists of four distinct empirical...

Idiosyncratic labor incomes are typically modeled either by stochastic processes with heterogeneous income profiles (HIPs) or restricted income profiles (RIPs). The HIP assumes that individual labor income grows deterministically at an unobserved rate and contains a persistent but stationary...

This paper considers fixed effects estimation and inference in linear and non-linear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of the random coefficients - are estimated by cross sectional sample moments...