Using Machine Learning to Explain Violations of the 'Law of One Price'

Aaron Bodoh-Creed, Jörn Boehnke, Brent Hickman · SSRN Electronic Journal · 2017

Summary

A very detailed data set consisting of posted-price listings for new Kindle Fire tablets from eBay is used to determine if observable listing heterogeneity can explain the price dispersion of seemingly homogeneous products, and a richer set of variables are explained by combining a richer set of variables than previous studies with more sophisticated machine learning techniques.

Type: article
Published: 2017-09-06
Cited by: 3
References: 42
Access: Open access
DOI: https://doi.org/10.2139/ssrn.3033324
OpenAlex: https://openalex.org/W2758593198
Semantic Scholar: https://api.semanticscholar.org/CorpusID:285718342

Keywords

Law, Economics, Artificial intelligence, Computer science, Political science

References

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Cited by

The impact of price adjustment costs on price dispersion in e-commerceRené Böheim, Franz Hackl, Michael Hölzl-Leitner — 2019
Estimation in English auctions with unobserved heterogeneityCristián Hernández, Daniel Quint, Christopher Turansick — 2020
ESTIMATING AN AUCTION PLATFORM GAME WITH TWO-SIDED ENTRYMarleen Marra — 2025

Using Machine Learning to Explain Violations of the 'Law of One Price'

Summary

Keywords

References

Cited by

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