IDEAS home Printed from https://ideas.repec.org/p/ags/aaea22/335958.html
   My bibliography  Save this paper

Impact of interest rate changes and government payments on farm operation's debt

Author

Listed:
  • Chandio, Rabail
  • Katchova, Ani
  • Giri, Anil K.
  • Subedi, Dipak

Abstract

No abstract is available for this item.

Suggested Citation

  • Chandio, Rabail & Katchova, Ani & Giri, Anil K. & Subedi, Dipak, 2023. "Impact of interest rate changes and government payments on farm operation's debt," 2023 Annual Meeting, July 23-25, Washington D.C. 335958, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea22:335958
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/335958/files/26254.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel L. Prager & Christopher B. Burns & Noah J. Miller, 2018. "How do financially vulnerable farms finance debt in periods of falling prices?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 78(4), pages 412-424, March.
    2. Wendong Zhang, 2021. "The Case for Healthy U.S.‐China Agricultural Trade Relations despite Deglobalization Pressures," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 225-247, March.
    3. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    4. Jaclyn D. Kropp & Ani L. Katchova, 2011. "The effects of direct payments on liquidity and repayment capacity of beginning farmers," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(3), pages 347-365, November.
    5. Brady E. Brewer & Christine A. Wilson & Allen M. Featherstone & Michael R. Langemeier, 2014. "Multiple vs single lending relationships in the agricultural sector," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(1), pages 55-68, April.
    6. Ani L. Katchova, 2005. "Factors affecting farm credit use," Agricultural Finance Review, Emerald Group Publishing, vol. 65(2), pages 17-29, July.
    7. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    8. Jaclyn D. Kropp & Ani L. Katchova, 2011. "The effects of direct payments on liquidity and repayment capacity of beginning farmers," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(3), pages 347-365, November.
    9. Brady E. Brewer & Christine A. Wilson & Allen M. Featherstone & Michael R. Langemeier, 2014. "Multiple vs single lending relationships in the agricultural sector," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(1), pages 55-68, April.
    10. Brian C. Briggeman & Steven R. Koenig & Charles B. Moss, 2012. "US farm debt: the role of ARMS," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(2), pages 254-261, July.
    11. Brian C. Briggeman & Steven R. Koenig & Charles B. Moss, 2012. "US farm debt: the role of ARMS," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(2), pages 254-261, July.
    12. Kauffman, Nathan S., 2013. "Credit Markets and Land Ownership for Young and Beginning Farmers," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 28(2), pages 1-5.
    13. Marchant, Mary A. & Wang, H. Holly, 2018. "Theme Overview: U.S.–China Trade Dispute and Potential Impacts on Agriculture," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 33(2), June.
    14. Ani L. Katchova, 2005. "Factors affecting farm credit use," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 65(2), pages 17-29, November.
    15. 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. Iotti, Mattia, 2023. "Financial evaluation and credit access of agricultural firms," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 25(2), October.
    2. Amr Khafagy & Mauro Vigani, 2023. "External finance and agricultural productivity growth," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 448-472, March.
    3. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2019. "Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 749-758, April.
    5. Julián Caballero & Christian Upper, 2023. "What happens to EMEs when US yields go up?," BIS Working Papers 1081, Bank for International Settlements.
    6. Belloni, Alexandre. & Chen, Mingli & Chernozhukov, Victor, 2016. "Quantile Graphical Models: Prediction and Conditional Independence with Applications to Financial Risk Management," The Warwick Economics Research Paper Series (TWERPS) 1125, University of Warwick, Department of Economics.
    7. Kaspar Wuthrich & Ying Zhu, 2019. "Omitted variable bias of Lasso-based inference methods: A finite sample analysis," Papers 1903.08704, arXiv.org, revised Sep 2021.
    8. Franz Huber & Alan Ponce & Francesco Rentocchini & Thomas Wainwright, 2020. "The Wealth of (Open Data) Nations? Examining the Interplay of Open Government Data and Country-level Institutions for Entrepreneurial Activity at the Country-level," SPRU Working Paper Series 2020-13, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    10. Caner, Mehmet & Kock, Anders Bredahl, 2018. "Asymptotically honest confidence regions for high dimensional parameters by the desparsified conservative Lasso," Journal of Econometrics, Elsevier, vol. 203(1), pages 143-168.
    11. Hansen, Christian & Liao, Yuan, 2019. "The Factor-Lasso And K-Step Bootstrap Approach For Inference In High-Dimensional Economic Applications," Econometric Theory, Cambridge University Press, vol. 35(3), pages 465-509, June.
    12. Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf, Center for Open Science.
    13. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer, 2020. "lassopack: Model selection and prediction with regularized regression in Stata," Stata Journal, StataCorp LP, vol. 20(1), pages 176-235, March.
    14. Damian Kozbur, 2017. "Testing-Based Forward Model Selection," American Economic Review, American Economic Association, vol. 107(5), pages 266-269, May.
    15. Alessandro V. M. Oliveira & Bruno F. Oliveira & Moises D. Vassallo, 2024. "Airport service quality perception and flight delays: examining the influence of psychosituational latent traits of respondents in passenger satisfaction surveys," Papers 2401.02139, arXiv.org.
    16. Szabó-Morvai Ágnes & Hubert János Kiss, 2020. "Locus of control and Human Capital Investment Decisions: The Role of Effort, Parental Preferences and Financial Constraints," CERS-IE WORKING PAPERS 2055, Institute of Economics, Centre for Economic and Regional Studies.
    17. Alexandre Belloni & Victor Chernozhukov & Ying Wei, 2016. "Post-Selection Inference for Generalized Linear Models With Many Controls," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 606-619, October.
    18. Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023. "High dimensional semiparametric moment restriction models," Journal of Econometrics, Elsevier, vol. 232(2), pages 320-345.
    19. Jakob Everding & Jan Marcus, 2020. "The effect of unemployment on the smoking behavior of couples," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 154-170, February.
    20. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.

    More about this item

    Keywords

    Agricultural Finance; Agricultural and Food Policy; Agribusiness;
    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:aaea22:335958. 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.