The effects of large minimum wage increases, like those planned in the UK and in some US states, are still unknown. We conduct a survey experiment that randomly assigns increases or decreases in minimum wages to about 6,000 plants in Germany and asks the personnel managers about their...

The advent of reinforcement learning (RL) in financial markets is driven by several advantages inherent to this field of artificial intelligence. In particular, RL allows to combine the "prediction" and the "portfolio construction" task in one integrated step, thereby closely aligning the...

In this article, we analyze the effects of the introduction of the German minimum wage using difference-in-differences estimations applied to the IAB Establishment Panel. The treatment effects on the treated establishments show a slight reduction in the employers' expected development of...

I study the information value of energy efficiency certificates. By using data on repeatedly observed buildings, I separate the rent premium for certified energy efficiency from the premium for readily observable energy efficiency. The buildings were observed before, in-between and after two...

In this article, we analyze the effects of the introduction of the German minimum wage using difference-in-differences estimations applied to the IAB Establishment Panel. The treatment effects on the treated establishments show a slight reduction in the employers' expected development of...

The advent of reinforcement learning (RL) in financial markets is driven by several advantages inherent to this field of artificial intelligence. In particular, RL allows to combine the "prediction" and the "portfolio construction" task in one integrated step, thereby closely aligning the...

The effects of large minimum wage increases, like those planned in the UK and in some US states, are still unknown. We conduct a survey experiment that randomly assigns increases or decreases in minimum wages to about 6,000 plants in Germany and asks the personnel managers about their...

A considerable theoretical and empirical literature studies the corporation's capital structure. Economists have paid less attention to capital structure in other enterprise forms such as partnerships, which typically operate under different legal constraints and appeal to smaller enterprises....

We present a comprehensive simulation study to assess and compare the performance of popular machine learning algorithms for time series prediction tasks. Specifically, we consider the following algorithms: multilayer perceptron (MLP), logistic regression, naïve Bayes, knearest neighbors,...

This paper develops the regime classification algorithm and applies it within a fully-edged pairs trading framework on minute-by-minute data of the S&P 500 constituents from 1998 to 2015. Specifically, the highly flexible algorithm automatically determines the number of regimes for any...