Confessions of an Internet Monopolist: Demand Estimation for a Versioned Information Good
Download full text from publisher
Other versions of this item:
- Henry W. Chappell & Paulo Guimarães & Orgül Demet Öztürk, 2011. "Confessions of an internet monopolist: demand estimation for a versioned information good," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
References listed on IDEAS
- Philippe Aghion & Patrick Bolton & Christopher Harris & Bruno Jullien, 1991.
"Optimal Learning by Experimentation,"
Review of Economic Studies,
Oxford University Press, vol. 58(4), pages 621-654.
- Aghion, P. & Bolton, P. & Harris, C. & Jullien, B., 1990. "Optimal Learning By Experimentation," DELTA Working Papers 90-10, DELTA (Ecole normale supérieure).
- Aghion Philippe & Bolton, Patrick & Harris Christopher & Jullien Bruno, 1991. "Optimal learning by experimentation," CEPREMAP Working Papers (Couverture Orange) 9104, CEPREMAP.
- Loginova, Oksana & Taylor, Curtis, 2003. "Price Experimentation with Strategic Buyers," Working Papers 03-02, Duke University, Department of Economics.
- Oksana Loginova & Curtis Taylor, 2008. "Price experimentation with strategic buyers," Review of Economic Design, Springer;Society for Economic Design, vol. 12(3), pages 165-187, September.
- Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
- Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
- 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
- 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.
- V.A. Hajivassiliou & P. A. Ruud, 1993. "Classical Estimation Methods for LDV Models Using Simulation," Econometrics 9311002, EconWPA.
- 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.
- Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
- 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.
- Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
- 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.
- 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, January.
- 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.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- John S. Jatta & Krishna Kumar Krishnan, 2016. "An empirical assessment of a univariate time series for demand planning in a demand-driven supply chain," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(3), pages 269-290.
More about this item
KeywordsVersioning; price discrimination; field experiment; maximum simulated likelihood;
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2008-08-31 (All new papers)
- NEP-COM-2008-08-31 (Industrial Competition)
- NEP-ICT-2008-08-31 (Information & Communication Technologies)
- NEP-MIC-2008-08-31 (Microeconomics)
- NEP-MKT-2008-08-31 (Marketing)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .