IDEAS home Printed from https://ideas.repec.org/p/ags/haaepa/344222.html
   My bibliography  Save this paper

Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data

Author

Listed:
  • Du, Qianqian
  • Mieno, Taro
  • Bullock, David S.

Abstract

Accurately evaluating yield response to nitrogen can increase crop management profitability and sustainability. Many studies estimate yield response by fitting a regression model to data collected from different fields. But analysing such combined data requires that heterogeneity across fields be accounted for in the regression analysis along with the variation in input rates. This study uses data from 27 large-scale on farm experiments to test the potential danger of getting biased estimates of yield response functions. Models with and without field fixed effects are run. The yield response functions from the two models showed different slopes, which provides a visual representation of the bias resulting from the pooled estimation. Use of the Mundlak approach indicated that ignoring the endogeneity of regressors with respect to field effects leads to an unreliable estimation of yield response to N.

Suggested Citation

  • Du, Qianqian & Mieno, Taro & Bullock, David S., 2023. "Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data," Agri-Tech Economics Papers 344222, Harper Adams University, Land, Farm & Agribusiness Management Department.
  • Handle: RePEc:ags:haaepa:344222
    DOI: 10.22004/ag.econ.344222
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/344222/files/Measuring%20the%20Estimation%20Bias%20of%20Yield%20Response%20to%20N%20Using%20Combined%20On-Farm%20Experiment%20Data.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.344222?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. Wolfram Schlenker & Michael J. Roberts, 2006. "Nonlinear Effects of Weather on Corn Yields," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 391-398.
    2. Wang, Ying & Shi, Wenjuan & Wen, Tianyang, 2023. "Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application," Agricultural Water Management, Elsevier, vol. 277(C).
    3. W. J. Spillman, 1923. "Application of the Law of Diminishing Returns to Some Fertilizer and Feed Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 5(1), pages 36-52.
    4. Tumusiime, Emmanuel & Brorsen, B. Wade & Mosali, Jagadeesh & Johnson, Jim & Locke, James & Biermacher, Jon T., 2011. "Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(4), pages 1-12, November.
    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. Du, Qianqian & Mieno, Taro & Bullock, David S., 2023. "Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data," Land, Farm & Agribusiness Management Department 344222, Harper Adams University, Land, Farm & Agribusiness Management Department.
    2. Du, Qianqian & Mieno, Taro & Bullock, David S., 2024. "Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data," 2024 Annual Meeting, July 28-30, New Orleans, LA 344051, Agricultural and Applied Economics Association.
    3. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    4. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    5. Kalemli-Özcan, Sebnem & Nikolsko–Rzhevskyy, Alex & Kwak, Jun Hee, 2020. "Does trade cause capital to flow? Evidence from historical rainfall," Journal of Development Economics, Elsevier, vol. 147(C).
    6. Janet Currie & Joshua Graff Zivin & Katherine Meckel & Matthew Neidell & Wolfram Schlenker, 2013. "Something in the water: contaminated drinking water and infant health," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 791-810, August.
    7. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    8. Meyer, Kevin & Keiser, David A., 2016. "Adapting to Climate Change Through Tile Drainage: A Structural Ricardian Analysis," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235932, Agricultural and Applied Economics Association.
    9. Jianhong Mu & Bruce McCarl & Anne Wein, 2013. "Adaptation to climate change: changes in farmland use and stocking rate in the U.S," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(6), pages 713-730, August.
    10. Meraj Sarwary & Senthilnathan Samiappan & Ghulam Dastgir Khan & Masaood Moahid, 2023. "Climate Change and Cereal Crops Productivity in Afghanistan: Evidence Based on Panel Regression Model," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    11. Bruce Anderson, 2012. "Intensification of seasonal extremes given a 2°C global warming target," Climatic Change, Springer, vol. 112(2), pages 325-337, May.
    12. Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.
    13. Carlo Fezzi & Ian Bateman, 2015. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 57-92.
    14. Ramsey, A. Ford & Tack, Jesse B. & Balota, Maria, 2021. "Double or Nothing: Impacts of Warming on Crop Quantity, Quality, and Revenue," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.
    15. Park, Seong C. & Brorsen, B. Wade & Stoecker, Arthur L. & Hattey, Jeffory A., 2012. "Forage Response to Swine Effluent: A Cox Nonnested Test of Alternative Functional Forms Using a Fast Double Bootstrap," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(4), pages 593-606, November.
    16. Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D. & Smith, S. Aaron, 2014. "Probability of Irrigated Corn Being Profitable in a Humid Region," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162470, Southern Agricultural Economics Association.
    17. Jesse Tack & Ardian Harri & Keith Coble, 2012. "More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1037-1054.
    18. Mason, Charles F. & Polasky, Stephen & Tarui, Nori, 2017. "Cooperation on climate-change mitigation," European Economic Review, Elsevier, vol. 99(C), pages 43-55.
    19. Jose A. Perez‐Mendez & David Roibas & Alan Wall, 2019. "The influence of weather conditions on dairy production," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 165-175, March.
    20. Satya Yadav & Willis Peterson & K. Easter, 1997. "Do farmers overuse nitrogen fertilizer to the detriment of the environment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 9(3), pages 323-340, April.

    More about this item

    Keywords

    Crop Production/Industries; Productivity Analysis; 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:haaepa:344222. 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/dlhauuk.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.