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Falling Response Rates to USDA Crop Surveys: Why It Matters

Author

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  • Johansson, Robert
  • Effland, Anne
  • Coble, Keith

Abstract

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Suggested Citation

  • Johansson, Robert & Effland, Anne & Coble, Keith, 2017. "Falling Response Rates to USDA Crop Surveys: Why It Matters," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 7, January.
    • Handle: RePEc:ags:illufd:282569
    DOI: 10.22004/ag.econ.282569
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    Citations

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    Cited by:

    1. Stuart, D. & Denny, R.C.H. & Houser, M. & Reimer, A.P. & Marquart-Pyatt, S., 2018. "Farmer selection of sources of information for nitrogen management in the US Midwest: Implications for environmental programs," Land Use Policy, Elsevier, vol. 70(C), pages 289-297.
    2. Palm-Forster, Leah H. & Taylor, Mykel & Banerjee, Simanti & Xie, Lusi, 2023. "Factors influencing enrollment of leased cropland in the Conservation Stewardship Program in Kansas," Land Use Policy, Elsevier, vol. 135(C).
    3. Brittney Goodrich & Marieke Fenton & Jerrod Penn & John Bovay & Travis Mountain, 2023. "Battling bots: Experiences and strategies to mitigate fraudulent responses in online surveys," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 762-784, June.
    4. Olga Isengildina Massa & Berna Karali & Scott H. Irwin, 2024. "What do we know about the value and market impact of the US Department of Agriculture reports?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(2), pages 698-736, June.
    5. Christopher N. Boyer & Karen L. DeLong & Andrew P. Griffith & Charles C. Martinez, 2024. "Factors influencing United States cattle producers use of livestock risk protection," Agricultural Economics, International Association of Agricultural Economists, vol. 55(4), pages 677-689, July.
    6. GwanSeon Kim & Mehdi Nemati & Steven Buck & Nicholas Pates & Tyler Mark, 2020. "Recovering Forecast Distributions of Crop Composition: Method and Application to Kentucky Agriculture," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    7. Boris E. Bravo‐Ureta & Víctor H. Moreira & Javier L. Troncoso & Alan Wall, 2020. "Plot‐level technical efficiency accounting for farm‐level effects: Evidence from Chilean wine grape producers," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 811-824, November.
    8. Penn, Jerrod & Hu, Wuyang & Alfaro-Inocente, Adriana & Bastola, Sapana, 2020. "Payment versus Charitable Donations to Attract Producer Survey Participation," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304329, Agricultural and Applied Economics Association.
    9. Stephanie Rosch & Sharon Raszap Skorbiansky & Collin Weigel & Kent D. Messer & Daniel Hellerstein, 2021. "Barriers to Using Economic Experiments in Evidence‐Based Agricultural Policymaking," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 531-555, June.
    10. Xiaofei Li & Zhiwei Shen & Ardian Harri & Keith H. Coble, 2020. "Comparing survey-based and programme-based yield data: implications for the U.S. Agricultural Risk Coverage-County programme," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 184-202, January.
    11. Ben S. Meiselman & Collin Weigel & Paul J. Ferraro & Mark Masters & Kent D. Messer & Olesya M. Savchenko & Jordan F. Suter, 2022. "Lottery Incentives and Resource Management: Evidence from the Agricultural Data Reporting Incentive Program (AgDRIP)," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 847-867, August.
    12. Tiesta Thakur & Terrance Hurley, 2023. "Do farmers need to be paid to grow milkweed for monarchs or will they volunteer if it is easy enough?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 1008-1024, June.

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