IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Assessing the Performance of Simple Contracts Empirically:The Case of Percentage Fees

  • Simon Loertscher & Andras Niedermayer

This paper estimates the cost of using simple percentage fees rather than the broker optimal Bayesian mechanism, using data for real estate transactions in Boston in the mid-1990s. This counterfactual analysis shows that interme-diaries using the best percentage fee mechanisms with fees ranging from 5.4% to 7.4% achieve 85% or more of the maximum profit. With the empirically observed 6% fees intermediaries achieve at least 83% of the maximum profit and with an optimally structured linear fee, they achieve 98% or more of the maximum profit.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://fbe.unimelb.edu.au/__data/assets/pdf_file/0003/784317/1163.pdf
Download Restriction: no

Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 1163.

as
in new window

Length: 45 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:mlb:wpaper:1163
Contact details of provider: Postal: Department of Economics, The University of Melbourne, 4th Floor, FBE Building, Level 4, 111 Barry Street. Victoria, 3010, Australia
Phone: +61 3 8344 5355
Fax: +61 3 8344 6899
Web page: http://www.economics.unimelb.edu.au
Email:


More information through EDIRC

References listed on IDEAS
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.:

as in new window
  1. Wheaton, William C, 1990. "Vacancy, Search, and Prices in a Housing Market Matching Model," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1270-92, December.
  2. Anderson, S.P. & Renault, R., 1997. "Pricing, Product Diversity and Search Costs: A Bertrand-Chamberlin-Diamond Model," Papers 97.481, Toulouse - GREMAQ.
  3. 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.
  4. repec:rje:randje:v:37:y:2006:i:4:p:1005-1022 is not listed on IDEAS
  5. Donald, Stephen G & Paarsch, Harry J, 1993. "Piecewise Pseudo-maximum Likelihood Estimation in Empirical Models of Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(1), pages 121-48, February.
  6. Genesove, David & Mayer, Christopher J, 1997. "Equity and Time to Sale in the Real Estate Market," American Economic Review, American Economic Association, vol. 87(3), pages 255-69, June.
  7. 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 1878-98, December.
  8. Bajari, Patrick & Hortacsu, Ali, 2003. " The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-55, Summer.
  9. Wolinsky, Asher, 1986. "True Monopolistic Competition as a Result of Imperfect Information," The Quarterly Journal of Economics, MIT Press, vol. 101(3), pages 493-511, August.
  10. Keisuke Hirano & Jack R. Porter, 2002. "Asymptotic Efficiency in Parametric Structural Models with Parameter-Dependent Support," Harvard Institute of Economic Research Working Papers 1988, Harvard - Institute of Economic Research.
  11. 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.
  12. Simon Loertscher & Andras Niedermayer, 2008. "Fee Setting Intermediaries: On Real Estate Agents, Stock Brokers, and Auction Houses," Discussion Papers 1472, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  13. Chang-Tai Hsieh & Enrico Moretti, 2002. "Can Free Entry be Inefficient? Fixed Commissions and Social Waste in the Real Estate Industry," NBER Working Papers 9208, National Bureau of Economic Research, Inc.
  14. Donald, S.G. & Paarsch, H.J., 1992. "Maximum Likelihood Estimation in Empirical Models of Auctions," UWO Department of Economics Working Papers 9211, University of Western Ontario, Department of Economics.
  15. Genesove, David & Han, Lu, 2012. "Search and matching in the housing market," Journal of Urban Economics, Elsevier, vol. 72(1), pages 31-45.
  16. Artyom Shneyerov, 2006. "An empirical study of auction revenue rankings: the case of municipal bonds," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 1005-1022, December.
  17. Chernozhukov, Victor & Hong, Han, 2003. "An MCMC approach to classical estimation," Journal of Econometrics, Elsevier, vol. 115(2), pages 293-346, August.
  18. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, June.
  19. Han Bin Kang & Mona J. Gardner, 1989. "Selling Price and Marketing Time in the Residential Real Estate Market," Journal of Real Estate Research, American Real Estate Society, vol. 4(1), pages 21-35.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:mlb:wpaper:1163. 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: (Aminata Doumbia)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.