This paper demonstrates that popular linear fixed-effects panel-data estimators are biased andinconsistent when applied in a discrete-time hazard setting - that is, one in which the outcomevariable is a binary dummy indicating an absorbing state, even if the data-generating process isfully...

We use an extensive, matched employer-employee dataset to analyze the employersize wage relation and its contribution to wage inequality in Germany. Applying models with additive fixed effects for workers and establishments, we document that the large firm wage premium, which has risen over 25...

Using representative linked employer-employee data for Germany, this paper analyzes short- and long-run differences in labor market performance of workers joining start-ups instead of incumbent firms. Applying entropy balancing and following individuals over ten years, we find huge and...

A common finding of the literature on dishonesty is that groups are more dishonest than individuals. We revisit this finding by making explicit the third-party harmed by subjects' dishonesty: a local charity. With this explicit third-party, we do not find groups to be more dishonest than...

We apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...

This paper presents the first large-scale application of deep reinforcement learning to optimize the placement of limit orders at cryptocurrency exchanges. For training and out-of-sample evaluation, we use a virtual limit order exchange to reward agents according to the realized shortfall over a...

This survey shows that union membership and density as well as bargaining coverage have fallen in most countries and that collective bargaining has become more decentralized over the last decades. However, there is a considerable amount of variation across countries and between different...

We use an extensive, matched employer-employee dataset to analyze the employersize wage relation and its contribution to wage inequality in Germany. Applying models with additive fixed effects for workers and establishments, we document that the large firm wage premium, which has risen over 25...

This survey shows that union membership and density as well as bargaining coverage have fallen in most countries and that collective bargaining has become more decentralized over the last decades. However, there is a considerable amount of variation across countries and between different...

We apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...