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The behavior of artificial intelligences algorithms (AIAs) is shaped by how they learn about their environment. We compare the prices generated by AIAs that use different learning protocols when there is market interaction. Asynchronous learning occurs when the AIA only learns about the return...
Persistent link: https://www.econbiz.de/10012496088
Increasingly, retailers have access to better pricing technology, especially in online markets. Using hourly data from five major online retailers, we show that retailers set prices at regular intervals that differ across firms. In addition, faster firms appear to use automated pricing rules...
Persistent link: https://www.econbiz.de/10012533409
? (2) Is it reachable through a decentralized algorithm? (3) What welfare properties does it possess? We prove that a … allocation achieved via sequential pairwise trades, but lends only weak support to the dynamic algorithm itself …
Persistent link: https://www.econbiz.de/10012457024
We introduce an algorithm for solving dynamic economic models that merges stochastic simulation and projection … support of the ergodic measure roughly uniformly. The proposed algorithm is tractable in problems with high dimensionality …
Persistent link: https://www.econbiz.de/10012460159
algorithm in terms of model complexity or the number of predictors to accommodate. Each firm then appoints a data analyst that … uses the chosen algorithm to estimate demand for multiple consumer segments, based on which, it devises a targeting policy …
Persistent link: https://www.econbiz.de/10014247922
volume of data available. Yet comparing the algorithm to the judge proves complicated. First, the data are themselves … set of preferences than the single variable that the algorithm focuses on; for instance, judges may care about racial … well. In addition, by focusing the algorithm on predicting judges' decisions, rather than defendant behavior, we gain some …
Persistent link: https://www.econbiz.de/10012455502
You May Know (people choose friends fairly deliberately). We find significant out-group bias in the News Feed algorithm (e … detectable bias in the PYMK algorithm. Together, these results suggest a need to rethink how large-scale algorithms use data on …
Persistent link: https://www.econbiz.de/10014226178
This paper develops a foundation for a consumer's preference for data privacy by linking it to the desire to hide behavioral vulnerabilities. Data sharing with digital platforms enhances the matching efficiency for standard consumption goods, but also exposes individuals with self-control issues...
Persistent link: https://www.econbiz.de/10014287351
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study participants. Using this...
Persistent link: https://www.econbiz.de/10013537786
We develop new quasi-experimental tools to understand algorithmic discrimination and build non-discriminatory algorithms when the outcome of interest is only selectively observed. These tools are applied in the context of pretrial bail decisions, where conventional algorithmic predictions are...
Persistent link: https://www.econbiz.de/10014544682