Moving from data-constrained to data-enabled research: experiences and challenges in collecting, validating and analyzing large-scale e-commerce data

DOI10.1214/088342306000000231zbMath1426.62367arXivmath/0609136OpenAlexW3098856870MaRDI QIDQ2381768

James R. Marsden, Ravi Bapna, Ram Gopal, Paulo B. Goes

Publication date: 18 September 2007

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math/0609136

zbMATH Keywords

large-scaleonline auctionsInternet datamusic file sharingweb crawling agents

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Related Items (2)

The timing of bid placement and extent of multiple bidding: an empirical investigation using ebay online auctions ⋮ Data mining in electronic commerce

Cites Work

• Auctions with a stochastic number of bidders
• The BARISTA: a model for bid arrivals in online auctions
• Predicting Bidders' Willingness to Pay in Online Multiunit Ascending Auctions: Analytical and Empirical Insights
• Analysis and Design of Business-to-Consumer Online Auctions
• The Use of Information System Technology to Develop Tests on Insider Trading and Asymmetric Information
• A Model in which an Increase in the Number of Sellers Leads to a Higher Price
• Optimal Auction Design
• Reducing Buyer Search Costs: Implications for Electronic Marketplaces
• Econometrics of First-Price Auctions
• Just‐Identified Versus Overidentified Two‐Level Hierarchical Linear Models with Missing Data

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