We construct a general dynamic structural model of two-sided learning between a firm and its workers. We estimate an … American workers). The type of data that we use also generates information on the value of learning and on whether and how the … the increases in the firm?s value from learning about its workers? behavior and to infer the extent of biases in estimated …

altruism. Instead, we posit that social reciprocity is a triggered normative response. Our experiment confirms the existence of …

time spent in the urban environment (and thus learning), or job changes. The evidence suggests that both these processes …

feedback as the main driving force of learning to play strategically and to form beliefs that accurately predict the behavior …

in marriage over smoking, rather than bargaining within the couple or social learning. …

" organization (featuring job rotation, integration of tasks and learning across tasks). We examine four driving forces behind this …

We utilize a laboratory experiment to compare effort provision under optimal tournament contracts with different …

altruism. Instead, we posit that social reciprocity is a triggered normative response. Our experiment confirms the existence of …

coordinate with other teams. We present an experiment with 825 participants, using six different coordination games, where either … differences between individuals and teams using the experience weighted attraction learning model. …

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. …