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Seller Financing: Contracting Out of the Lemons and Moral Hazard Problems When They May Co-Exist

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  • Tirtiroglu, Dogan

    (Ryerson University)

  • Tirtiroglu, Ercan

    (University of Massachusetts Dartmouth)

Abstract

Quality problems that are known to the seller of an asset, but will become known to the buyer only after the purchase have the potential to frustrate voluntary exchanges. When the problem is subtle or confounded by the extent of buyer inputs, requiring risk-sharing by the contracting parties, both parties would benefit from a mechanism, such as seller financing, which not only credibly signals to the buyer the veracity of the seller’s representations about the asset (s)he is trying to sell, but also offers the seller sufficient protections against the potential that the buyer may engage in post-sale opportunistic behavior about the maintenance of the asset. We analyze one-time-only mortgage contracts in the National Association of Realtors' Home Financing Transaction database for 1984-1996, (data not collected outside this period), and find empirical support for seller financing as an asset quality signal and, separably, as a mechanism for providing credit when conventional credit sources are tight. We also point out the broad, but not well-acknowledged, reach of seller financing, including the sub-prime loan debacle, the earnout mergers or reverse annuity mortgages, which are inherently embedded with both asymmetric information about the quality of the relevant assets and moral hazard about the asset acquirer’s post-purchase maintenance.

Suggested Citation

  • Tirtiroglu, Dogan & Tirtiroglu, Ercan, 2020. "Seller Financing: Contracting Out of the Lemons and Moral Hazard Problems When They May Co-Exist," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 335-357, November.
  • Handle: RePEc:ris:ambsrv:0017
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    References listed on IDEAS

    as
    1. Smith, Janet Kiholm, 1987. "Trade Credit and Informational Asymmetry," Journal of Finance, American Finance Association, vol. 42(4), pages 863-872, September.
    2. John Reifel, 1994. "Black-white housing price differentials: Recent trends and implications," The Review of Black Political Economy, Springer;National Economic Association, vol. 23(1), pages 67-93, June.
    3. Petersen, Mitchell A & Rajan, Raghuram G, 1997. "Trade Credit: Theories and Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 661-691.
    4. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    5. Berger, Tommy, et al, 2000. "The Capitalization of Interest Subsidies: Evidence from Sweden," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(2), pages 199-217, May.
    6. Nilsen, Jeffrey H, 2002. "Trade Credit and the Bank Lending Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 226-253, February.
    7. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    8. Cooper, Russell & Ross, Thomas W., 1985. "Monopoly provision of product quality with uninformed buyers," International Journal of Industrial Organization, Elsevier, vol. 3(4), pages 439-449, December.
    9. John G. Riley, 2001. "Silver Signals: Twenty-Five Years of Screening and Signaling," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 432-478, June.
    10. Barakova, Irina & Bostic, Raphael W. & Calem, Paul S. & Wachter, Susan M., 2003. "Does credit quality matter for homeownership?," Journal of Housing Economics, Elsevier, vol. 12(4), pages 318-336, December.
    11. Robert J. Shiller & Allan N. Weiss, 2000. "Moral Hazard in Home Equity Conversion," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(1), pages 1-31.
    12. Laband, David N & Maloney, Michael T, 1994. "A Theory of Credit Bureaus," Public Choice, Springer, vol. 80(3-4), pages 275-291, September.
    13. Kohers, Ninon & Ang, James, 2000. "Earnouts in Mergers: Agreeing to Disagree and Agreeing to Stay," The Journal of Business, University of Chicago Press, vol. 73(3), pages 445-476, July.
    14. Chee K. Ng & Janet Kiholm Smith & Richard L. Smith, 1999. "Evidence on the Determinants of Credit Terms Used in Interfirm Trade," Journal of Finance, American Finance Association, vol. 54(3), pages 1109-1129, June.
    15. Thomas J. Miceli & C.F. Sirmans, 1994. "Reverse Mortgages and Borrower Maintenance Risk," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 433-450, June.
    16. Asher Wolinsky, 1983. "Prices as Signals of Product Quality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 647-658.
    17. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    18. Yuk-Shee Chan & Hayne Leland, 1982. "Prices and Qualities in Markets with Costly Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(4), pages 499-516.
    19. James Kau & Donald Keenan & Constantine Lyubimov & V. Slawson, 2012. "Asymmetric Information in the Subprime Mortgage Market," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 67-89, January.
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    Cited by:

    1. Krukowski, Kipp A. & DeTienne, Dawn R., 2022. "Selling a business after the pandemic? How crisis and information asymmetry affect deal terms," Business Horizons, Elsevier, vol. 65(5), pages 617-630.

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    Keywords

    Microeconomics Information; Knowledge and Uncertainty; Financial Economics; General Financial Markets; Financial Institutions and Services;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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