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Fee-Setting Mechanisms: On Optimal Pricing by Intermediaries and Indirect Taxation

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  • Simon Loertscher & Andras Niedermayer

Abstract

Mechanisms according to which private intermediaries or governments charge transaction fees or indirect taxes are prevalent in practice. We consider a setup with multiple buyers and sellers and two-sided independent private information about valuations. We show that any weighted average of revenue and social welfare can be maximized through appropriately chosen transaction fees and that in increasingly thin markets such optimal fees converge to linear fees. Moreover, fees decrease with competition (or the weight on welfare) and the elasticity of supply but decrease with the elasticity of demand. Our theoretical predictions fit empirical observations in several industries with intermediaries.

Suggested Citation

  • Simon Loertscher & Andras Niedermayer, 2012. "Fee-Setting Mechanisms: On Optimal Pricing by Intermediaries and Indirect Taxation," Department of Economics - Working Papers Series 1162, The University of Melbourne.
    • Handle: RePEc:mlb:wpaper:1162
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    1. Steven D. Levitt & Chad Syverson, 2008. "Market Distortions When Agents Are Better Informed: The Value of Information in Real Estate Transactions," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 599-611, November.
    2. Mark Satterthwaite & Artyom Shneyerov, 2007. "Dynamic Matching, Two-Sided Incomplete Information, and Participation Costs: Existence and Convergence to Perfect Competition," Econometrica, Econometric Society, vol. 75(1), pages 155-200, January.
    3. Baliga Sandeep & Vohra Rakesh, 2003. "Market Research and Market Design," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 3(1), pages 1-27, August.
    4. Loertscher, Simon & Niedermayer, Andras, 2012. "Assessing the Performance of Simple Contracts Empirically: The Case of Percentage Fees," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 435, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    5. Audrey Hu & Steven A. Matthews & Liang Zou, 2009. "Risk Aversion and Optimal Reserve Prices in First and Second-Price Auctions, Second Version," PIER Working Paper Archive 10-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Jan 2010.
    6. 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.
    7. Bulow, Jeremy & Roberts, John, 1989. "The Simple Economics of Optimal Auctions," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1060-1090, October.
    8. Anderson, Simon P. & de Palma, Andre & Kreider, Brent, 2001. "Tax incidence in differentiated product oligopoly," Journal of Public Economics, Elsevier, vol. 81(2), pages 173-192, August.
    9. Igal Hendel & Aviv Nevo & François Ortalo-Magné, 2009. "The Relative Performance of Real Estate Marketing Platforms: MLS versus FSBOMadison.com," American Economic Review, American Economic Association, vol. 99(5), pages 1878-1898, December.
    10. Krishna, Vijay, 2009. "Auction Theory," Elsevier Monographs, Elsevier, edition 2, number 9780123745071.
    11. Myerson, Roger B. & Satterthwaite, Mark A., 1983. "Efficient mechanisms for bilateral trading," Journal of Economic Theory, Elsevier, vol. 29(2), pages 265-281, April.
    12. Rutherford, R.C. & Springer, T.M. & Yavas, A., 2005. "Conflicts between principals and agents: evidence from residential brokerage," Journal of Financial Economics, Elsevier, vol. 76(3), pages 627-665, June.
    13. Gresik, Thomas A. & Satterthwaite, Mark A., 1989. "The rate at which a simple market converges to efficiency as the number of traders increases: An asymptotic result for optimal trading mechanisms," Journal of Economic Theory, Elsevier, vol. 48(1), pages 304-332, June.
    14. Martin F. Hellwig, 2003. "Public-Good Provision with Many Participants," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 589-614.
    15. Chang-Tai Hsieh & Enrico Moretti, 2003. "Can Free Entry Be Inefficient? Fixed Commissions and Social Waste in the Real Estate Industry," Journal of Political Economy, University of Chicago Press, vol. 111(5), pages 1076-1122, October.
    16. Salanié, Bernard, 2011. "The Economics of Taxation," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262016346, December.
    17. Jullien, B. & Mariotti, T., 2006. "Auction and the informed seller problem," Games and Economic Behavior, Elsevier, vol. 56(2), pages 225-258, August.
    18. William P. Rogerson, 2003. "Simple Menus of Contracts in Cost-Based Procurement and Regulation," American Economic Review, American Economic Association, vol. 93(3), pages 919-926, June.
    19. Alexander Matros & Andriy Zapechelnyuk, 2008. "Optimal fees in internet auctions," Review of Economic Design, Springer;Society for Economic Design, vol. 12(3), pages 155-163, September.
    20. Makowski Louis & Mezzetti Claudio, 1993. "The Possibility of Efficient Mechanisms for Trading an Indivisible Object," Journal of Economic Theory, Elsevier, vol. 59(2), pages 451-465, April.
    21. Isabelle Perrigne & Quang Vuong, 2011. "Nonparametric Identification of a Contract Model With Adverse Selection and Moral Hazard," Econometrica, Econometric Society, vol. 79(5), pages 1499-1539, September.
    22. Oz Shy & Zhu Wang, 2011. "Why Do Payment Card Networks Charge Proportional Fees?," American Economic Review, American Economic Association, vol. 101(4), pages 1575-1590, June.
    23. Gresik, Thomas A., 1991. "Ex ante efficient, ex post individually rational trade," Journal of Economic Theory, Elsevier, vol. 53(1), pages 131-145, February.
    24. Leininger, W. & Linhart, P. B. & Radner, R., 1989. "Equilibria of the sealed-bid mechanism for bargaining with incomplete information," Journal of Economic Theory, Elsevier, vol. 48(1), pages 63-106, June.
    25. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
    26. Hu, Audrey & Matthews, Steven A. & Zou, Liang, 2010. "Risk aversion and optimal reserve prices in first- and second-price auctions," Journal of Economic Theory, Elsevier, vol. 145(3), pages 1188-1202, May.
    27. Leon Yang Chu & David E. M. Sappington, 2007. "Simple Cost-Sharing Contracts," American Economic Review, American Economic Association, vol. 97(1), pages 419-428, March.
    28. Ballard, Charles L & Shoven, John B & Whalley, John, 1985. "General Equilibrium Computations of the Marginal Welfare Costs of Taxes in the United States," American Economic Review, American Economic Association, vol. 75(1), pages 128-138, March.
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    Cited by:

    1. Zhu Wang, 2018. "Why Do Platforms Use Ad Valorem Fees? Evaluating Two Alternative Explanations," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 153-171.
    2. Zhu Wang & Julian Wright, 2017. "Ad valorem platform fees, indirect taxes, and efficient price discrimination," RAND Journal of Economics, RAND Corporation, vol. 48(2), pages 467-484, May.
    3. Álvarez, Francisco & Rey, José-Manuel, 2019. "(Quasi) uniqueness and restoring dynamics of price-dispersion market equilibria under search cost," Journal of Mathematical Economics, Elsevier, vol. 81(C), pages 1-13.

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    More about this item

    Keywords

    brokers; applied mechanism design; linear commission fees; optimal indirect;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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