Publications Based on SOEP Data: SOEPlit

Measuring job satisfaction in surveys: Germany - Comparative analytical report

Measuring Happiness: The Economics of Well-Being

The Linked Employer-Employee Study of the Socio-Economic Panel (SOEP-LEE): Project Report

In 2012/13, a survey of German employers was conducted using face-to-face and paper-and-pencil interviews (N = 1,708; response rate = 30.1%). Establishments were sampled based on address information provided by employed participants in the Socio-Economic Panel (SOEP) study. The information obtained from both surveys can be linked in order to create a linked employer–employee data set concerning organizational ...

The Linked Employer–Employee Study of the Socio-Economic Panel (SOEP-LEE): Content, Design and Research Potential

Forecasting Behavioural and Distributional Effects of the Bofinger-Walwei Model using Microsimulation

Since Germany's social assistance reform ("Hartz-IV-Reform") in 2005 there has been a strong increase in the number of working poor and long-term unemployed. This development is often attributed to the remaining disincentives of the reformed social assistance to take up a low-paid full time job. Therefore, several proposals have been worked out to reduce these disincentives. In this ...

Restricted likelihood ratio testing in linear mixed models with general error covariance structure

We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite sample distribution of the restricted likelihood ratio test statistic under the null hypothesis. We propose to make use of a transformation to derive the ...

Gender Differences in Poverty: A Cross-National Study

Essays on Framing Effects in Experimental Economics

Voluntary Turnover: What We Measure and What It (Really) Means

In this paper, we run regression analyses to explain voluntary turnover intentions with data from more than 5,000 employees and with about 250 explanatory variables. The findings of our multi-factor approach highlight the fact that previous empirical research might have over-estimated the impact and significance of many factors. We show the relevance of the so-called omitted variable bias to our findings ...

Returns to Education and Experience in Self-Employment: Evidence from Germany