IDEAS home Printed from https://ideas.repec.org/a/oup/revage/v25y2003i2p506-522..html
   My bibliography  Save this article

Predicting Farm Tractor Values through Alternative Depreciation Methods

Author

Listed:
  • Troy J. Dumler
  • Robert O. Burton
  • Terry L. Kastens

Abstract

This study compares a variety of farm tractor depreciation methods to determine which most accurately estimates farm tractor values. These alternative depreciation methods consider different factors for estimating remaining value and vary in difficulty of use. Pairwise comparisons of mean absolute percentage error and forecast accuracy regression models were used to evaluate the accuracy of the depreciation methods, which depend on age, intensity of use, and manufacturer. Based on the results of this study, the Cross and Perry method was generally the most accurate.

Suggested Citation

  • Troy J. Dumler & Robert O. Burton & Terry L. Kastens, 2003. "Predicting Farm Tractor Values through Alternative Depreciation Methods," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(2), pages 506-522.
  • Handle: RePEc:oup:revage:v:25:y:2003:i:2:p:506-522.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1467-9353.00152
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Timothy L. Cross & Gregory M. Perry, 1995. "Depreciation Patterns for Agricultural Machinery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 194-204.
    2. LeRoy Hansen & Hyunok Lee, 1991. "Estimating Farm Tractor Depreciation: Tax Implications," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 39(3), pages 463-479, November.
    3. James Unterschultz & Glen Mumey, 1996. "Reducing Investment Risk in Tractors and Combines with Improved Terminal Asset Value Forecasts," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 44(3), pages 295-309, November.
    4. Gregory M. Perry & Ahmet Bayaner & Clair J. Nixon, 1990. "The Effect of Usage and Size on Tractor Depreciation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 317-325.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daninger, Nathan & Gunderson, Michael A., 2017. "The Pricing and Depreciation Patterns of Used Tractors," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258282, Agricultural and Applied Economics Association.
    2. Ivan Herranz-Matey & Luis Ruiz-Garcia, 2023. "A New Method and Model for the Estimation of Residual Value of Agricultural Tractors," Agriculture, MDPI, vol. 13(2), pages 1-20, February.
    3. Luis Ruiz-Garcia & Patricia Sanchez-Guerrero, 2022. "A Decision Support Tool for Buying Farm Tractors, Based on Predictive Analytics," Agriculture, MDPI, vol. 12(3), pages 1-26, February.
    4. Kenkel, Philip L. & Kilima, Fredy, 2004. "Optimal Fertilizer Warehousing and Distribution Systems for Farm Supply Cooperatives," 2004 Annual Meeting, November 2-3 31795, NCERA-194 Research on Cooperatives.
    5. Lips, Markus & Burose, Frank, 2012. "Repair and Maintenance Costs for Agricultural Machines," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 1(3), pages 1-7.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dumler, Troy J. & Burton, Robert O., Jr. & Kastens, Terry L., 2000. "Use Of Alternative Depreciation Methods To Estimate Farm Tractor Values," 2000 Annual meeting, July 30-August 2, Tampa, FL 21800, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Luis Ruiz-Garcia & Patricia Sanchez-Guerrero, 2022. "A Decision Support Tool for Buying Farm Tractors, Based on Predictive Analytics," Agriculture, MDPI, vol. 12(3), pages 1-26, February.
    3. Ivan Herranz-Matey & Luis Ruiz-Garcia, 2023. "Agricultural Tractor Retail and Wholesale Residual Value Forecasting Model in Western Europe," Agriculture, MDPI, vol. 13(10), pages 1-21, October.
    4. Ivan Herranz-Matey & Luis Ruiz-Garcia, 2023. "A New Method and Model for the Estimation of Residual Value of Agricultural Tractors," Agriculture, MDPI, vol. 13(2), pages 1-20, February.
    5. Ivan Herranz-Matey & Luis Ruiz-Garcia, 2024. "New Agricultural Tractor Manufacturer’s Suggested Retail Price (MSRP) Model in Europe," Agriculture, MDPI, vol. 14(3), pages 1-21, February.
    6. Ivan Herranz-Matey & Luis Ruiz-Garcia, 2023. "Agricultural Combine Remaining Value Forecasting Methodology and Model (and Derived Tool)," Agriculture, MDPI, vol. 13(4), pages 1-15, April.
    7. Unknown, 1998. "References/Literature Cited," Commodity Costs and Returns Estimation Handbook,, Iowa State University.
    8. Tozer, Peter R., 2005. "Depreciation Rates for Australian Tractors and Headers - Is Machinery Depreciation a Fixed or Variable Cost?," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137951, Australian Agricultural and Resource Economics Society.
    9. Dumler, Troy J. & Burton, Robert O., Jr. & Kastens, Terry L., 1998. "Implications Of Alternative Farm Tractor Depreciation Methods," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20913, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Yang, Dennis Tao & Zhu, Xiaodong, 2013. "Modernization of agriculture and long-term growth," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 367-382.
    11. Lin Gan & Takahashi Yoshifumi & Nomura Hisako & Yabe Mitsuyasu, 2024. "The short‐ and long‐term impacts of overinvestments on the profitability of agri‐food processing firms in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 227-247, January.
    12. Beaton, Aaron J. & Dhuyvetter, Kevin C. & Kastens, Terry L. & Williams, Jeffery R., 2005. "Per Unit Costs to Own and Operate Farm Machinery," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(1), pages 1-14, April.
    13. Paul Gallagher & Mark Dikeman & John Fritz & Eric Wailes & Wayne Gauthier & Hosein Shapouri, 2003. "Supply and Social Cost Estimates for Biomass from Crop Residues in the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 335-358, April.
    14. Takeshima, Hiroyuki, 2015. "Market imperfections for tractor service provision in Nigeria: International perspectives and empirical evidence:," IFPRI discussion papers 1424, International Food Policy Research Institute (IFPRI).
    15. Gallagher, Paul W. & Dikeman, Mark & Fritz, John & Wailes, Eric & Gauthier, Wayne & Shapouri, Hosein, 2003. "Supply and Social Cost Estimates for Biomass from Crop Residues in the United States," ISU General Staff Papers 200304010800001493, Iowa State University, Department of Economics.
    16. Lazarus, William F. & Selley, Roger A., 2002. "Suggested Procedures For Estimating Farm Machinery Costs," Staff Papers 14072, University of Minnesota, Department of Applied Economics.
    17. Daninger, Nathan & Gunderson, Michael A., 2017. "The Pricing and Depreciation Patterns of Used Tractors," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258282, Agricultural and Applied Economics Association.
    18. Watkins, K. Bradley & Hill, Jason L. & Anders, Merle M. & Windham, Tony E., 2006. "Whole-Farm Evaluation of No-Till Profitability in Rice Production using Mixed Integer Programming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(3), pages 1-17, December.
    19. Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2009. "Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture," Staff Papers 50098, University of Minnesota, Department of Applied Economics.
    20. Suhao Wei & Yangxiao Lu, 2022. "Why China’s AMS Market Is Difficult to Develop Sustainably: Evidence from the North China Plain," Sustainability, MDPI, vol. 15(1), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:revage:v:25:y:2003:i:2:p:506-522.. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.