learning process of purely and impurely altruistic agents and find that in both cases the contribution level converges towards … corresponds to findings from experiments on voluntary contribution to a public good. Crucial determinants of the learning process …

This paper introduces a reinforcement learning based approach to compute optimal interest rate reaction functions in …

Predictive power has always been the main research focus of learning algorithms with the goal of minimizing the test … on sparse learning in order to avoid overfitting which can greatly affect the accuracy of out-of-sample prediction … response whereas even sparse-learning methods can still preserve a high number of attributes in high-dimensional settings and …

This paper consolidates recent methodological developments based on Double Machine Learning (DML) with a focus on …

In this paper we survey the most recent advances in supervised machine learning and highdimensional models for time … predictive ability are brie y reviewed. Finally, we discuss application of machine learning in economics and finance and provide …

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social … adage "once you understand OLS, you can work your way up to any other estimator," and apply it to Machine Learning. Focusing … and fire some trailblazers to the forefront of AI and causal machine learning. …