This paper compares models trained with classification algorithm with those trained using regression algorithm. We use … classification algorithm have statistically significant mean returns, unlike regression algorithm, in which only 3 out of 10 models …

investors’ algorithm aversion, all of which can be influenced by human advice, namely: a per-period disutility of dealing with … the algorithm, pessimism about the algorithm’s ability to manage assets, and uncertainty about the algorithm’s performance … by mechanical allocation rules. We find evidence that algorithm aversion is mainly driven by ongoing disutility and …

, our learning algorithms are not naive adoptions of the classic UCB algorithm: the design of the simulation and averaging … practical way to select which learning algorithm to use with limited demand data …

sometimes fail to use algorithms, which could be a barrier to achieving such improvements. Using the bolus calculator (algorithm … al. 2017), we contribute field analysis to identify drivers of algorithm use. We find that 1) previous algorithm use … increases future algorithm use, 2) being out-of-target with self-driven decisions increases subsequent algorithm use, whereas …

algorithm’s treatment recommendation. We then show how these four moments can be estimated by extrapolating quasi … learning algorithm discriminates against Black defendants, even though defendant race and ethnicity are not included in the … training data. The algorithm recommends releasing white defendants before trial at an 8 percentage point (11 percent) higher …