In the standard data analysis framework, data is collected (once for all), and then data analysis is carried out. However, with the advancement of digital technology, decision-makers constantly analyze past data and generate new data through their …
This paper identifies and addresses dynamic selection problems in online learning algorithms with endogenous data. In a contextual multi-armed bandit model, a novel bias (*self-fulfilling bias*) arises because the endogeneity of the data influences …