First Degree Price Discrimination Using Big Data
Second and 3rd degree price discrimination (PD) receive far more attention than 1st degree PD, i.e. person-specific pricing, because the latter requires previously unobtainable information on individuals’ willingness to pay. I show modern web behavior data reasonably predict Netflix subscription, far outperforming data available in the past. I then present a model to estimate demand and simulate outcomes had 1st degree PD been implemented. The model is structural, derived from canonical theory models, but resembles an ordered Probit, allowing methods for handling massive datasets. Simulations show using demographics alone to tailor prices raises profits by 0.14%. Including web browsing data increases profits by much more, 1.4%, increasingly the appeal of tailored pricing, and resulting in some consumers paying twice as much as others do for the exact same product. There is an updated version of this paper titled "Perspnalized Discrimination Using Big Data", working paper #108.
|Date of creation:||Aug 2013|
|Date of revision:||Sep 2013|
|Contact details of provider:|| Postal: MS032, P.O. Box 9110, Waltham, MA 02454-9110|
Web page: http://www.brandeis.edu/departments/economics/
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- Alessandro Acquisti & Hal R. Varian, 2002.
"Contidioning Prices on Purchase History,"
- Feldstein, Martin, 1995.
"College Scholarship Rules and Private Saving,"
American Economic Review,
American Economic Association, vol. 85(3), pages 552-66, June.
- Chenghuan Sean Chu & Phillip Leslie & Alan Sorensen, 2011. "Bundle-Size Pricing as an Approximation to Mixed Bundling," American Economic Review, American Economic Association, vol. 101(1), pages 263-303, February.
- Ben Shiller & Joel Waldfogel, 2011. "Music for a Song: An Empirical Look at Uniform Pricing and Its Alternatives," Journal of Industrial Economics, Wiley Blackwell, vol. 59(4), pages 630-660, December.
- Alan L. Montgomery & Shibo Li & Kannan Srinivasan & John C. Liechty, 2004. "Modeling Online Browsing and Path Analysis Using Clickstream Data," Marketing Science, INFORMS, vol. 23(4), pages 579-595, November.
- Graddy, Kathryn & Hall, George, 2009.
"A Dynamic Model of Price Discrimination and Inventory Management at the Fulton Fish Market,"
CEPR Discussion Papers
7315, C.E.P.R. Discussion Papers.
- Graddy, Kathryn & Hall, George, 2011. "A dynamic model of price discrimination and inventory management at the Fulton Fish Market," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 6-19.
- Kathryn Graddy & George Hall, 2009. "A Dynamic Model of Price Discrimination and Inventory Management at the Fulton Fish Market," NBER Working Papers 15019, National Bureau of Economic Research, Inc.
- Wendy W. Moe & Peter S. Fader, 2004. "Dynamic Conversion Behavior at E-Commerce Sites," Management Science, INFORMS, vol. 50(3), pages 326-335, March.
- Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
- Harikesh Nair, 2007.
"Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games,"
Quantitative Marketing and Economics (QME),
Springer, vol. 5(3), pages 239-292, September.
- Nair, Harikesh S., 2006. "Intertemporal Price Discrimination with Forward-Looking Consumers: Application to the US Market for Console Video-Games," Research Papers 1947, Stanford University, Graduate School of Business.
- Crawford, Gregory S & Shum, Matthew, 2007. "Monopoly Quality Degradation and Regulation in Cable Television," Journal of Law and Economics, University of Chicago Press, vol. 50(1), pages 181-219, February.
- Coase, Ronald H, 1972. "Durability and Monopoly," Journal of Law and Economics, University of Chicago Press, vol. 15(1), pages 143-49, April.
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