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Debt And Leasing In Agriculture: A Quantile Regression Approach

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  • Taheripour, Farzad
  • Katchova, Ani L.
  • Barry, Peter J.

Abstract

While traditional finance theory suggests that leasing and debt are substitutes, some papers demonstrated the theoretical possibility of complementarity. Empirical studies indicate that both are possible. In this paper we will use the Tobit model, ordinary least squares and quantile regression techniques to study the relationship between leasing and debt in farm capital structure in Illinois. Our results indicate that leasing and debt are close to perfect substitutes and leased assets are less risky than debt-financed assets in Illinois farms. The results from the quantile regression help us to capture the effects of farm characteristics on the distribution of leased to assets ratio.

Suggested Citation

  • Taheripour, Farzad & Katchova, Ani L. & Barry, Peter J., 2002. "Debt And Leasing In Agriculture: A Quantile Regression Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19636, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea02:19636
    DOI: 10.22004/ag.econ.19636
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    References listed on IDEAS

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    2. Thomas J. Finucane, 1988. "Some Empirical Evidence On The Use Of Financial Leases," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 11(4), pages 321-333, December.
    3. Miller, Merton H & Upton, Charles W, 1976. "Leasing, Buying, and the Cost of Capital Services," Journal of Finance, American Finance Association, vol. 31(3), pages 761-786, June.
    4. Lewellen, Wilbur G & Long, Michael S & McConnell, John J, 1976. "Asset Leasing in Competitive Capital Markets," Journal of Finance, American Finance Association, vol. 31(3), pages 787-798, June.
    5. Ang, James & Peterson, Pamela P, 1984. "The Leasing Puzzle," Journal of Finance, American Finance Association, vol. 39(4), pages 1055-1065, September.
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    Keywords

    Agricultural Finance;

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