Learning from Seller Experiements in Online Markets
AbstractThe internet has dramatically reduced the cost of varying prices, dis- plays and information provided to consumers, facilitating both active and passive experimentation. We document the prevalence of targeted pricing and auction design variation on eBay, and identify hundreds of thousands of experiments con- ducted by sellers across a wide array of retail products. We show how this type of data can be used to address questions about consumer behavior and market outcomes, and provide illustrative results on price dispersion, the frequency of over-bidding, the choice of reserve prices, ?buy now?options and other auction design parameters, and on consumer sensitivity to shipping fees. We argue that leveraging the experiments of market participants takes advantage of the scale and heterogeneity of online markets and can be a powerful approach for testing and measurement.
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Bibliographic InfoPaper provided by Stanford Institute for Economic Policy Research in its series Discussion Papers with number 10-033.
Date of creation: Aug 2011
Date of revision:
Other versions of this item:
- Liran Einav & Theresa Kuchler & Jonathan D. Levin & Neel Sundaresan, 2011. "Learning from Seller Experiments in Online Markets," NBER Working Papers 17385, National Bureau of Economic Research, Inc.
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
- L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-08-29 (All new papers)
- NEP-ICT-2011-08-29 (Information & Communication Technologies)
- NEP-MKT-2011-08-29 (Marketing)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jennifer Brown & Tanjim Hossain & John Morgan, 2010. "Shrouded Attributes and Information Suppression: Evidence from the Field," The Quarterly Journal of Economics, MIT Press, vol. 125(2), pages 859-876, May.
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"The Data Revolution and Economic Analysis,"
in: Innovation Policy and the Economy, Volume 14
National Bureau of Economic Research, Inc.
- Liran Einav & Jonathan D. Levin, 2013. "The Data Revolution and Economic Analysis," NBER Working Papers 19035, National Bureau of Economic Research, Inc.
- Liran Einav & Johnathan Levin, 2013. "The Data Revolution and Economic Analysis," Discussion Papers 12-017, Stanford Institute for Economic Policy Research.
- Jonathan D. Levin, 2011.
"The Economics of Internet Markets,"
NBER Working Papers
16852, National Bureau of Economic Research, Inc.
- Liran Einav & Dan Knoepfle & Jonathan Levin & Neel Sundaresan, 2014.
"Sales Taxes and Internet Commerce,"
American Economic Review,
American Economic Association, vol. 104(1), pages 1-26, January.
- Liran Einav & Dan Knoepfle & Jonathan D. Levin & Neel Sundaresan, 2012. "Sales Taxes and Internet Commerce," NBER Working Papers 18018, National Bureau of Economic Research, Inc.
- Liran Einav & Jonathan Levin & Neel Sundaresan, 2012. "Sales Taxes and Internet Commerce," Discussion Papers 11-012, Stanford Institute for Economic Policy Research.
- Wang, Zhongmin & Xu, Minbo, 2013. "Selling a Dollar for More Than a Dollar? Evidence from Online Penny Auctions," Discussion Papers dp-13-15, Resources For the Future.
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