An Automated and Data-Driven Bidding Strategy for Online Auctions
Published Online:31 Aug 2010https://doi.org/10.1287/ijoc.1100.0397
References
- Experiments on the difference between willingness to pay and willingness to accept. Land Econom. (1993) 69(4):416–427Crossref, Google Scholar
- Bidding behavior in competing auctions: Evidence from eBay. Eur. Econom. Rev. (2006) 50(2):307–322Crossref, Google Scholar
- Buying, bidding, playing, or competing? Value assessment and decision dynamics in online auctions. J. Consumer Psych. (2003) 13(1–2):113–123Crossref, Google Scholar
- Economic insights from Internet auctions. J. Econom. Literature (2004) 42(2):457–486Crossref, Google Scholar
- Consumer surplus in online auctions. Inform. Systems Res. (2008a) 19(4):400–416Link, Google Scholar
- Price formation and its dynamics in online auctions. Decision Support Systems (2008b) 44(3):641–656Crossref, Google Scholar
- Moving from data-constrained to data-enabled research: Experiences and challenges in collecting, validating, and analyzing large-scale e-commerce data. Statist. Sci. (2006) 21(2):116–130Crossref, Google Scholar
- User heterogeneity and its impact on electronic auction market design: An empirical exploration. MIS Quart. (2004) 28(1):21–43Crossref, Google Scholar
- Predictive calibration of online multi-unit ascending auctions. Proc. Workshop Inform. Tech. Systems (WITS-2002) (2002) Barcelona, SpainGoogle Scholar
- Comparing subset regression procedures. Technometrics (1978) 20(1):1–6Crossref, Google Scholar
- Classification and Regression Trees (1984) (Pacific Grove, Wadsworth, CA) Google Scholar
- Willingness to pay and competition in online auctions. J. Marketing Res. (2007) 44(2):324–333Crossref, Google Scholar
- The variable selection problem. J. Amer. Statist. Assoc. (2000) 95(452):1304–1308Crossref, Google Scholar
- Consumer optimization, switching and search in pairs of online auctions for identical items. (2007a) . Working paper, University of Texas at Dallas, DallasGoogle Scholar
- Individual choice among charity auctions. (2007b) . Working paper, University of Texas at Dallas, DallasGoogle Scholar
- Competition between auctions. Marketing Lett. (2008) 19(3–4):431–448Crossref, Google Scholar
- Generalized Additive Models (1990) (Chapman & Hall, London) Google Scholar
- Investigating concurrency in online auctions through visualization. Amer. Statistician (2006) 60(3):241–250Crossref, Google Scholar
- Visualizing online auctions. J. Comput. Graph. Statist. (2005) 14(2):299–319Crossref, Google Scholar
- Functional data analysis in electronic commerce research. Statist. Sci. (2006) 21(2):155–166Crossref, Google Scholar
- Modelling concurrency of events in on-line auctions via spatiotemporal semiparametric models. J. Roy. Statist. Soc. Ser. C (2007) 56(1):1–27Crossref, Google Scholar
- , Adomavicius G., Gupta A. Studying heterogeneity of price evolution in eBay auctions via functional clustering. Business Computing Handbooks in Information Systems Series (2008) 3(Emerald Group Publishing, Bingley, UK) 237–263Google Scholar
- , Jank W., Shmueli G. Differential equation trees to model price dynamics in online auctions. Statistical Methods in e-Commerce Research (2008) (John Wiley & Sons, New York) 365–382Crossref, Google Scholar
- Pennies from eBay: The determinants of price in online auctions. J. Indust. Econom. (2007) 55(2):223–233Crossref, Google Scholar
- Internet auctions with many traders. J. Econom. Theory (2006) 130(1):220–245Crossref, Google Scholar
- Functional Data Analysis (2005) 2nd ed(Springer-Verlag, New York) Crossref, Google Scholar
- Last-minute bidding and the rules for ending second-price auctions: Evidence from eBay and Amazon auctions on the Internet. Amer. Econom. Rev. (2002) 92(4):1093–1103Crossref, Google Scholar
- , Kauffman R. J., Tallon P. P. Modeling the dynamics of online auctions: A modern statistical approach. Economics, Information Systems and Electronic Commerce: Empirical Research (2008) (M. E. Sharpe, Armonk, NY) 157–180Google Scholar
- The BARISTA: A model for bid arrivals in online auctions. Ann. Appl. Statist. (2007) 1(2):412–441Crossref, Google Scholar
- Explaining and forecasting online auction prices and their dynamics using functional data analysis. J. Bus. Econom. Statist. (2008a) 26(2):144–160Crossref, Google Scholar
- Modeling price dynamics in eBay auctions using differential equations. J. Amer. Statist. Assoc. (2008b) 103(483):1100–1118Crossref, Google Scholar
- Forward-looking bidding in online auctions. J. Marketing Res. (2006) 43(3):462–476Crossref, Google Scholar

