IDEAS home Printed from https://ideas.repec.org/p/ags/aaea17/258134.html
   My bibliography  Save this paper

Predicting Credit Demand with ARMS: A Machine Learning Approach

Author

Listed:
  • Ifft, Jennifer E.
  • Kuhns, Ryan
  • Patrick, Kevin T.

Abstract

No abstract is available for this item.

Suggested Citation

  • Ifft, Jennifer E. & Kuhns, Ryan & Patrick, Kevin T., 2017. "Predicting Credit Demand with ARMS: A Machine Learning Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258134, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea17:258134
    DOI: 10.22004/ag.econ.258134
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/258134/files/Abstracts_17_05_19_07_53_31_96__216_59_113_132_0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.258134?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wilm Fecke & Jan-Henning Feil & Oliver Musshoff, 2016. "Determinants of loan demand in agriculture: empirical evidence from Germany," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 76(4), pages 462-476, November.
    2. Maria Bampasidou & Ashok K. Mishra & Charles B. Moss, 2017. "Modeling debt choice in agriculture: the effect of endogenous asset values," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 77(1), pages 95-110, May.
    3. Harris, James Michael & Dillard, John & Erickson, Kenneth W. & Hallahan, Charles B., 2009. "Changes in Debt Patterns and Financial Structure of Farm Businesses: A Double Hurdle Approach," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49402, Agricultural and Applied Economics Association.
    4. Ani L. Katchova, 2005. "Factors affecting farm credit use," Agricultural Finance Review, Emerald Group Publishing, vol. 65(2), pages 17-29, July.
    5. MacDonald, James M. & O'Donoghue, Erik J. & McBride, William D. & Nehring, Richard F. & Sandretto, Carmen L. & Mosheim, Roberto, 2007. "Profits, Costs, and the Changing Structure of Dairy Farming," Economic Research Report 6704, United States Department of Agriculture, Economic Research Service.
    6. Morehart, Mitch & Milkove, Dan & Xu, Yang, 2014. "Multivariate Farm Debt Imputation in the Agricultural Resource Management Survey (ARMS)," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169401, Agricultural and Applied Economics Association.
    7. Todd Hubbs & Todd Kuethe, 2017. "A disequilibrium evaluation of public intervention in agricultural credit markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 77(1), pages 37-49, May.
    8. Peter Howley & Emma Dillon, 2012. "Modelling the effect of farming attitudes on farm credit use: a case study from Ireland," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(3), pages 456-470, November.
    9. Ifft, Jennifer & Patrick, Kevin & Novini, Amirdara, 2014. "Debt Use By U.S Farm Businesses, 1992-2011," Economic Information Bulletin 165912, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    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. Steele C. West & Amin W. Mugera & Ross S. Kingwell, 2021. "Drivers of farm business capital structure and its speed of adjustment: evidence from Western Australia’s Wheatbelt," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(2), pages 391-412, April.
    2. Spiegel, Alisa & Severini, Simone & Britz, Wolfgang & Coletta, Attilio, 2020. "Step-by-step development of a model simulating returns on farm from investments: the example of hazelnut plantation in Italy: The example of hazelnut plantation in Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(1), April.
    3. Peter Howley & Emma Dillon, 2012. "Factors affecting the level of farm indebtedness: the role of farming attitudes," Working Papers 1201, Rural Economy and Development Programme,Teagasc.
    4. MacDonald, James M. & Cessna, Jerry & Mosheim, Roberto, 2016. "Changing Structure, Financial Risks, and Government Policy for the U.S. Dairy Industry," Economic Research Report 262200, United States Department of Agriculture, Economic Research Service.
    5. Ty Kreitman & Todd Kuethe & David B. Oppedahl & Francisco Scott, 2022. "The Supply and Demand of Agricultural Loans," Research Working Paper RWP 22-06, Federal Reserve Bank of Kansas City.
    6. repec:ags:aaea22:335958 is not listed on IDEAS
    7. Almuhanad Melhim & Erik J. O'Donoghue & C. Richard Shumway, 2009. "Do the Largest Firms Grow and Diversify the Fastest? The Case of U.S. Dairies," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 284-302, June.
    8. Monge, Juan J. & Bryant, Henry L. & Gan, Jianbang & Richardson, James W., 2016. "Land use and general equilibrium implications of a forest-based carbon sequestration policy in the United States," Ecological Economics, Elsevier, vol. 127(C), pages 102-120.
    9. Cathal O'Donoghue & Thia Hennessy, 2015. "Policy and Economic Change in the Agri-Food Sector in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 46(2), pages 315-337.
    10. Peter Howley & Emma Dillon & Thia Hennessy, 2014. "It’s not all about the money: understanding farmers’ labor allocation choices," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(2), pages 261-271, June.
    11. Geoffroy Enjolras & Philippe Madiès, 2019. "The determinants of loan acceptance: a case study of French farms," Economics Bulletin, AccessEcon, vol. 39(1), pages 358-371.
    12. O'Hara, Jeffrey K. & Benson, Matthew, 2017. "Local Food Production and Farm to School Expenditures," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252669, Southern Agricultural Economics Association.
    13. Xiaoheng Zhang & Xiaohua Yu & Xu Tian & Xianhui Geng & Yingheng Zhou, 2019. "Farm size, inefficiency, and rice production cost in China," Journal of Productivity Analysis, Springer, vol. 52(1), pages 57-68, December.
    14. Sneeringer, Stacy & Hogle, Regina, 2008. "Variation in Environmental Regulations in California and Effects on Dairy Location," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(2), pages 133-146, October.
    15. West, Steele, 2021. "The Estimation of Farm Business Inefficiency in the Presence of Debt Repayment," 2021 Conference, August 17-31, 2021, Virtual 315048, International Association of Agricultural Economists.
    16. MacDonald, James M., 2014. "Technology, Organization, and Financial Performance in U.S. Broiler Production," Economic Information Bulletin 262121, United States Department of Agriculture, Economic Research Service.
    17. Harris, James Michael & Blank, Steven C. & Erickson, Kenneth W. & Hallahan, Charles B., 2010. "Off-farm Income and Investments in Farm Assets: A Double Hurdle Approach," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61531, Agricultural and Applied Economics Association.
    18. Rodica Chetroiu & Ana Elena Cișmileanu & Elena Cofas & Ionut Laurentiu Petre & Steliana Rodino & Vili Dragomir & Ancuța Marin & Petruța Antoneta Turek-Rahoveanu, 2022. "Assessment of the Relations for Determining the Profitability of Dairy Farms, A Premise of Their Economic Sustainability," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    19. Wencheng Li & Lei Wang & Qi Wan & Weijia You & Shaowen Zhang, 2022. "A Configurational Analysis of Family Farm Management Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    20. Howley, Peter & Breen, James P. & Donoghue, Cathal O. & Hennessy, Thia, 2012. "Does the single farm payment affect farmers’ behaviour? A macro and micro analysis," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(1), pages 1-8, October.
    21. Burns, Christopher & Prager, Daniel & Ghosh, Sujit & Goodwin, Barry, 2015. "Imputing for Missing Data in the ARMS Household Section: A Multivariate Imputation Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205291, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Agricultural Finance; Agribusiness; Agricultural and Food Policy;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea17:258134. 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: AgEcon Search (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.