IDEAS home Printed from https://ideas.repec.org/p/ags/aaea09/49216.html
   My bibliography  Save this paper

Constructing Farm Level Yield Densities from Aggregated Data: Analysis and Comparison of Approaches

Author

Listed:
  • Cooper, Joseph C.
  • Langemeier, Michael R.
  • Schnitkey, Gary D.
  • Zulauf, Carl R.

Abstract

Yield variability can be significantly higher at the farm level than at more aggregated levels, including the county. However, due to a dearth of available farm level data, much stochastic analysis involving farm yields utilizes more aggregated yield data as a proxy for the farm level. We empirically evaluate farm-level variability using longitudinal farm level data sets available from the Kansas Farm Management Association and the Illinois Farm Business and Farm Management Association. For corn, soybeans, and wheat, we compare the farm level yield variability obtained from this data to that inferred from Federal crop insurance premiums. The farm management data exhibit lower yield variability than are implied by the crop insurance premiums.

Suggested Citation

  • Cooper, Joseph C. & Langemeier, Michael R. & Schnitkey, Gary D. & Zulauf, Carl R., 2009. "Constructing Farm Level Yield Densities from Aggregated Data: Analysis and Comparison of Approaches," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49216, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49216
    DOI: 10.22004/ag.econ.49216
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/49216/files/County%20to%20farm%20level%20AAEA%202009_new_IL%20data.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.49216?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. Cooper, Joseph, 2009. "Payments under the Average Crop Revenue Program: Implications for Government Costs and Producer Preferences," Agricultural and Resource Economics Review, Cambridge University Press, vol. 38(1), pages 49-64, April.
    2. Keith H. Coble & Robert Dismukes, 2008. "Distributional and Risk Reduction Effects of Commodity Revenue Program Design ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 543-553.
    3. Barry K. Goodwin, 2009. "Payment Limitations and Acreage Decisions under Risk Aversion: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 19-41.
    4. Langemeier, Michael R., 2005. "Comparison of 2002 Census and KFMA Farms," Staff Papers 117977, Kansas State University, Department of Agricultural Economics.
    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. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2014. "Yield Trend Estimation in the Presence of Farm Heterogeneity and Non-linear Technological Change," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 53(2), pages 1-20, May.
    2. Gerlt, Scott & Thompson, Wyatt & Miller, Douglas, 2014. "Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-18.
    3. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
    4. Leif Erec Heimfarth & Oliver Musshoff, 2011. "Weather index‐based insurances for farmers in the North China Plain," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 218-239, August.
    5. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 61(1).
    6. Cooper, Joseph C., 2009. "ACRE: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49180, Agricultural and Applied Economics Association.
    7. Yehouenou, Lauriane S. M. & Barnett, Barry J. & Harri, Ardian & Coble, Keith H., 2016. "An Analysis of Factors Affecting Bias and Inefficiency in Area Yield Indexes Based on Aggregated Farm Yields," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230081, Southern Agricultural Economics Association.

    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. Cooper, Joseph C., 2009. "ACRE: A Revenue-Based Alternative to Price-Based Commodity Payment Programs," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49180, Agricultural and Applied Economics Association.
    2. Cooper, Joseph & Delbecq, Benoît, 2014. "A multi-region approach to assessing fiscal and farm level consequences of government support for farm risk management," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(3), pages 1-23, December.
    3. Cooper, Joseph & Hungerford, Ashley & O'Donoghue, Erik, 2015. "Interactions of Shallow Loss Support and Traditional Federal Crop Insurance: Building a Framework for Assessing Commodity Support Issues for the Next Farm Act," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205310, Agricultural and Applied Economics Association.
    4. Anton, Jesus & Kimura, Shingo, 2009. "Farm Level Analysis of Risk, and Risk Management Strategies and Policies: Evidence from German Crop Farms," 2009 Conference, August 16-22, 2009, Beijing, China 51729, International Association of Agricultural Economists.
    5. Joseph Cooper & Carl Zulauf & Michael Langemeier & Gary Schnitkey, 2012. "Implications of within county yield heterogeneity for modeling crop insurance premiums," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(1), pages 134-155, May.
    6. Gerlt, Scott & Thompson, Wyatt & Miller, Douglas, 2014. "Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-18.
    7. Mary, Sebastien & Santini, Fabien & Boulanger, Pierre, 2013. "An Ex-Ante Assessment of CAP Income Stabilisation Payments using a Farm Household Model," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158860, Agricultural Economics Society.
    8. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
    9. Hungerford, Ashley & Astill, Gregory & Effland, Anne, 2017. "Changes to the Noninsured Crop Disaster Assistance Program Under the Agricultural Act of 2014: Their Potential Risk Reduction Impacts," Economic Information Bulletin 262132, United States Department of Agriculture, Economic Research Service.
    10. Mane, Ranjitsinh & Watkins, Bradley, 2018. "Stochastic Analysis of County and Multi County Yields for Agriculture Risk Coverage (ARC) payments for Arkansas Row Crop Producers," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266698, Southern Agricultural Economics Association.
    11. Coble, Keith H. & Barnett, Barry J., 2008. "Implications of Integrated Commodity Programs and Crop Insurance," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-12, August.
    12. Eric J Belasco & Joseph Cooper & Vincent H Smith, 2020. "The Development of a Weather‐based Crop Disaster Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 240-258, January.
    13. Hungerford, Ashley & Rosch, Stephanie, 2016. "The Effect of Crop Insurance Premium Subsidies on Soybean Producers' Risk Management Portfolios," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235341, Agricultural and Applied Economics Association.
    14. Dörschner, T. & Mußhoff, O., 2014. "Does the Risk Attitude Influence and Farmers’ Willingness to Participate in Agri-Environmental Measures? – A Normative Approach to Evaluate Ecosystem Services," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    15. Taylor, Mykel R. & Tonsor, Glynn T. & Wilson, Candice, 2017. "Factors Affecting 2014 Farm Bill Commodity Program Enrollment for Kansas Farmers," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258190, Agricultural and Applied Economics Association.
    16. Liu, Y. & Ker, A., 2018. "Is There Too Much History in Historical Yield Data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277293, International Association of Agricultural Economists.
    17. Severini, Simone & Tantari, Antonella & Di Tommaso, Giuliano, 2016. "The instability of farm income. Empirical evidences on aggregation bias and heterogeneity among farm groups," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 5(1), pages 1-19, April.
    18. Claassen, Roger & Carriazo, Fernando & Cooper, Joseph C. & Hellerstein, Daniel & Ueda, Kohei, 2011. "Grassland to Cropland Conversion in the Northern Plains: The Role of Crop Insurance, Commodity, and Disaster Programs," Economic Research Report 262239, United States Department of Agriculture, Economic Research Service.
    19. Chalise, Lekhnath & Coble, Keith H. & Barnett, Barry J. & Miller, J. Corey, 2017. "Developing Area-Triggered Whole Farm Revenue Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-18, January.
    20. Woolverton, Andrea E. & Edwin, Young, 2009. "Factors Influencing ACRE Program Enrollment," Economic Research Report 55954, United States Department of Agriculture, Economic Research Service.

    More about this item

    Keywords

    Agricultural and Food Policy; Crop Production/Industries; Research Methods/ Statistical Methods; Risk and Uncertainty;
    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:aaea09:49216. 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.