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Yield Maps, Soil Maps, and Technical Efficiency: Evidence from U.S. Corn Fields

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  • McFadden, Jonathan R.

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  • McFadden, Jonathan R., 2017. "Yield Maps, Soil Maps, and Technical Efficiency: Evidence from U.S. Corn Fields," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258120, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea17:258120
    DOI: 10.22004/ag.econ.258120
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    1. Tasso Adamopoulos & Diego Restuccia, 2014. "The Size Distribution of Farms and International Productivity Differences," American Economic Review, American Economic Association, vol. 104(6), pages 1667-1697, June.
    2. Schimmelpfennig, David & Ebel, Robert, 2011. "On the Doorstep of the Information Age: Recent Adoption of Precision Agriculture," Economic Information Bulletin 291945, United States Department of Agriculture, Economic Research Service.
    3. Apurba Shee & Spiro E. Stefanou, 2015. "Endogeneity Corrected Stochastic Production Frontier and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 939-952.
    4. Nigel Key & William D. McBride, 2014. "Sub-therapeutic Antibiotics and the Efficiency of U.S. Hog Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 831-850.
    5. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    6. James M. MacDonald & Sun-Ling Wang, 2011. "Foregoing Sub-therapeutic Antibiotics: the Impact on Broiler Grow-out Operations," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 79-98.
    7. Michael J. Roberts & David Schimmelpfennig & Michael J. Livingston & Elizabeth Ashley, 2009. "Estimating the Value of an Early-Warning System," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 303-329.
    8. Allen, Douglas W & Lueck, Dean, 1998. "The Nature of the Farm," Journal of Law and Economics, University of Chicago Press, vol. 41(2), pages 343-386, October.
    9. Fengxia Dong & David A. Hennessy & Helen H. Jensen & Richard J. Volpe, 2016. "Technical efficiency, herd size, and exit intentions in U.S. dairy farms," Agricultural Economics, International Association of Agricultural Economists, vol. 47(5), pages 533-545, September.
    10. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2016. "Endogeneity in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 190(2), pages 280-288.
    11. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514, October.
    12. Madhu Khanna, 2001. "Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 35-51.
    13. Daniel Ayalew Ali & Klaus Deininger, 2015. "Is There a Farm Size–Productivity Relationship in African Agriculture? Evidence from Rwanda," Land Economics, University of Wisconsin Press, vol. 91(2), pages 317-343.
    14. Derek Byerlee & Klaus Deininger, 2013. "The Rise of Large Farms in Land-Abundant Countries: Do They Have a Future?," Palgrave Macmillan Books, in: Stein T. Holden & Keijiro Otsuka & Klaus Deininger (ed.), Land Tenure Reform in Asia and Africa, chapter 14, pages 333-353, Palgrave Macmillan.
    15. MacDonald, James M. & Korb, Penni & Hoppe, Robert A., 2013. "Farm Size and the Organization of U.S. Crop Farming," Economic Research Report 262221, United States Department of Agriculture, Economic Research Service.
    16. Matías L. Ruffo & Donald G. Bullock & Germán A. Bollero, 2009. "The Value of Variable Rate Technology: An Information-Theoretic Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 209-223.
    17. Rulon D. Pope & Richard E. Just, 2003. "Distinguishing Errors in Measurement from Errors in Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 348-358.
    18. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    19. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    20. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    21. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    22. Carlos D. Mayen & Joseph V. Balagtas & Corinne E. Alexander, 2010. "Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 181-195.
    23. Daniel A. Sumner, 2014. "American Farms Keep Growing: Size, Productivity, and Policy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 147-166, Winter.
    24. Murat Isik & Madhu Khanna, 2003. "Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 305-317.
    25. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
    26. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    27. Roberto Mosheim & C.A. Knox Lovell, 2007. "Scale Economies and Inefficiency of U.S. Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(3), pages 777-794.
    28. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, October.
    29. Schimmelpfennig, David & Ebel, Robert, 2016. "Sequential Adoption and Cost Savings from Precision Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-19, January.
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    Cited by:

    1. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.

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