An adjustment scheme for nonlinear pricing problem with two buyers

European Journal of Operational Research

Volumn 201, Issue 1, 2010, Pages 259-266

  Ehtamo, Harri ^a   Berg, Kimmo ^a   Kitti, Mitri ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Adjustment; Buyer seller game; Limited information; Online computation; Pricing

Indexed keywords

ADJUSTMENT; BUYER-SELLER GAME; LIMITED INFORMATION; ONLINE COMPUTATION; PRICING;

COSTS; GAME THEORY; PROBABILITY DISTRIBUTIONS; SALES;

PROBLEM SOLVING;

EID: 70249146885     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2009.01.037     Document Type: Article

References (24)

1. Baron D.P., and Myerson R.B. Regulating a monopolist with unknown costs. Econometrica 50 (1982) 911-930
2. K. Berg, H. Ehtamo, Learning in optimal screening problem when utility functions are unknown. Manuscript. , 2008.
3. K. Berg, H. Ehtamo, Multidimensional screening: online computation and limited information, in: 10th International Conference on Electronic Commerce (ICEC), 2008.
4. Bowling M., and Veloso M. Multiagent learning using a variable learning rate. Artificial Intelligence 136 (2002) 215-250
5. Brooks C.H., Gazzale R.S., Das R., Kephart J.O., Mackie-Mason J.K., and Durfee E.H. Model selection in an information economy: Choosing what to learn. Computational Intelligence 18 (2002) 566-582
6. Braden D.J., and Oren S.S. Nonlinear pricing to produce information. Marketing Science 13 (1994) 310-326
7. Ehtamo H., Kitti M., and Hämäläinen R.P. Recent studies on incentive design problems. In: Zaccour G. (Ed). Optimal Control and Differential Games, Essays in Honor of Steffen Jorgensen. Advances in Computational Management Science vol. 5 (2002), Kluwer 121-134
8. Fudenberg D., and Tirole J. Game Theory (1991), MIT Press, Cambridge
9. Jaisingh J., Barron J., Mehta S., and Chaturvedi A. Privacy and pricing personal information. European Journal of Operational Research (2006) 10.1016/j.ejor.2006.03.062
10. Kitti M., and Ehtamo H. Adjustment of an affine contract with fixed-point iteration. Journal of Optimization Theory and Applications 140 1 (2009)
11. Lin K.Y. Dynamic pricing with real-time demand learning. European Journal of Operational Research 174 (2006) 522-538
12. Maskin E., and Riley J. Monopoly with incomplete information. The RAND Journal of Economics 15 (1984) 171-196
13. Mirrlees J.A. An exploration in the theory of optimum income taxation. The Review of Economic Studies 38 (1971) 175-208
14. Mussa M., and Rosen S. Monopoly and product quality. Journal of Economic Theory 18 (1978) 301-317
15. Myerson R.B. Optimal auction design. Mathematics of Operations Research 6 (1981) 58-73
16. Raju C.V.L., Narahari Y., and Ravikumar K. Learning dynamic prices in electronic retail markets with customer segmentation. Annals of Operations Research 143 (2006) 59-75
17. Räsänen M., Ruusunen J., and Hämäläinen R.P. Optimal tariff design under consumer self-selection. Energy Economics 19 (1997) 151-167
18. Salanie B. The Economics and Contracts (2002), MIT Press, Cambridge
19. T. Sandholm, Making markets and democracy work: A story of incentives and computing, in: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-03), 2003, pp. 1649-1671.
20. Sandholm T. Perspectives on multiagent learning. Artificial Intelligence 171 (2007) 382-391
21. Spence M. Nonlinear prices and welfare. Journal of Public Economics 8 (1977) 1-18
22. Spence M. Multi-product quantity-dependent prices and profitability constraints. The Review of Economic Studies 47 (1980) 821-841
23. Wilson R. Multiproduct tariffs. Journal of Regulatory Economics 3 (1991) 5-26
24. Wilson R. Nonlinear Pricing (1993), Oxford University Press