Confessions of an Internet Monopolist: Demand Estimation for a Versioned Information Good
We investigate profit-maximizing versioning plans for an information goods monopolist. The analysis employs data obtained from a web-based field experiment in which potential buyers were offered information goods in varied price-quality configurations. Maximum simulated likelihood (MSL) methods are used to estimate parameters describing the distribution of utility function parameters across potential buyers of the good. The resulting estimates are used to examine the impact of versioning on seller profits and market efficiency.
|Date of creation:||2006|
|Date of revision:||2008|
|Contact details of provider:|| Postal: |
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC
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.:
- Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986.
"Classical estimation methods for LDV models using simulation,"
Handbook of Econometrics,
in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441
- Vassilis A. Hajivassiliou & Paul A. Ruud, 1993. "Classical Estimation Methods for LDV Models Using Simulation," Cowles Foundation Discussion Papers 1051, Cowles Foundation for Research in Economics, Yale University.
- V.A. Hajivassiliou & P. A. Ruud, 1993. "Classical Estimation Methods for LDV Models Using Simulation," Econometrics 9311002, EconWPA.
- Hajivassiliou, Vassilis A & Ruud, Paul A., 1993. "Classical Estimation Methods for LDV Models Using Simulation," Department of Economics, Working Paper Series qt3cg196fr, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Vassilis A. Hajivassiliou and Paul A. Ruud., 1993. "Classical Estimation Methods for LDV Models Using Simulation," Economics Working Papers 93-219, University of California at Berkeley.
- David Reiley & John List, 2008.
Artefactual Field Experiments
00091, The Field Experiments Website.
- Gourieroux, Christian & Monfort, Alain, 1993. "Simulation-based inference : A survey with special reference to panel data models," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 5-33, September.
- Rosa Branca Esteves, 2007.
"Pricing with Customer Recognition,"
NIPE Working Papers
27/2007, NIPE - Universidade do Minho.
- Aghion, Philippe, et al, 1991. "Optimal Learning by Experimentation," Review of Economic Studies, Wiley Blackwell, vol. 58(4), pages 621-54, July.
- Brian Kahin & Hal R. Varian (ed.), 2000. "Internet Publishing and Beyond: The Economics of Digital Information and Intellectual Property," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262611597, June.
- Aghion Philippe & Bolton, Patrick & Harris Christopher & Jullien Bruno, 1991.
"Optimal learning by experimentation,"
CEPREMAP Working Papers (Couverture Orange)
- Loginova, Oksana & Taylor, Curtis, 2003.
"Price Experimentation with Strategic Buyers,"
03-02, Duke University, Department of Economics.
- Carlos Arias & THOMAS L. COX, 1999. "Maximum Simulated Likelihood: A Brief Introduction for Practitioners," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 421, Wisconsin-Madison Agricultural and Applied Economics Department.
- Alessandro Acquisti & Hal R. Varian, 2005.
"Conditioning Prices on Purchase History,"
INFORMS, vol. 24(3), pages 367-381, May.
- Lee, Lung-Fei, 1995. "Asymptotic Bias in Simulated Maximum Likelihood Estimation of Discrete Choice Models," Econometric Theory, Cambridge University Press, vol. 11(03), pages 437-483, June.
- Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:10106. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.