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Distinguishing Errors in Measurement from Errors in Optimization

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  • Rulon D. Pope
  • Richard E. Just

Abstract

Typical econometric production practices under duality ignore the source of disturbances. We show that, depending on the source, a different approach to estimation is required. The typical approach applies under errors in factor input measurement rather than errors in optimization. An approach to the identification of disturbance sources is suggested. We find credible evidence in U.S. agriculture of errors in optimization compared to errors of measurement, and thus reject the typical specification. Copyright 2003, Oxford University Press.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:ajagec:v:85:y:2003:i:2:p:348-358
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    File URL: http://hdl.handle.net/10.1111/1467-8276.00124
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    Cited by:

    1. Boussios, David & Barkley, Andrew, 2014. "Producer Expectations and the Extensive Margin in Grain Supply Response," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 43(3), pages 1-22, December.
    2. Bittencourt, Maurício Vaz Lobo, 2003. "Presence Of Stochastic Errors In The Input Demands: Are Dual And Primal Estimations Equivalent?," 2003 Annual meeting, July 27-30, Montreal, Canada 22096, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. John C. Beghin & Jean-Christophe Bureau & Alexandre Gohin, 2017. "The Impact of an EU–US Transatlantic Trade and Investment Partnership Agreement on Biofuel and Feedstock Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 321-344, June.
    4. Letort, Elodie & Carpentier, Alain, 2009. "Endogeneity of acreage choices in input allocation equations: implied problems and a solution," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49217, Agricultural and Applied Economics Association.
    5. Ravallion, Martin, 2005. "On Measuring Aggregate "Social Efficiency."," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 273-292, January.
    6. Just, Richard E., 2000. "Some Guiding Principles for Empirical Production Research in Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 138-158, October.
    7. François Bareille & Raja Chakir, 2024. "Structural identification of weather impacts on crop yields: Disentangling agronomic from adaptation effects," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 989-1019, May.
    8. Alain Carpentier & Elodie Letort, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers SMART 09-17, INRAE UMR SMART.
    9. McFadden, Jonathan R., 2015. "Essays on climate change adaptation and biotechnologies in U.S. agriculture," ISU General Staff Papers 201501010800005635, Iowa State University, Department of Economics.
    10. Carletto,Calogero & Dillon,Andrew S. & Zezza,Alberto, 2021. "Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage," Policy Research Working Paper Series 9745, The World Bank.
    11. Beghin, John C. & Bureau, Jean-Christophe & Gohin, Alex, 2014. "The Impact of an EU-US TTIP Agreement on Biofuel and Feedstock Markets," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197153, International Agricultural Trade Research Consortium.
    12. 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.
    13. McConnell, Kenneth E. & Price, Michael, 2006. "The lay system in commercial fisheries: Origin and implications," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 295-307, May.
    14. Boussios, David & Barkley, Andrew P., 2012. "Kansas Grain Supply Response to Economic and Biophysical Factors, 1977-2007," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124385, Agricultural and Applied Economics Association.
    15. McFadden, Jonathan & Miranowski, John, "undated". "Climate Change Impacts on the Intensive and Extensive Margins of US Agricultural Land," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170512, Agricultural and Applied Economics Association.
    16. Jonathan Kaminski & Iddo Kan & Aliza Fleischer, 2013. "A Structural Land-Use Analysis of Agricultural Adaptation to Climate Change: A Proactive Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 70-93.
    17. Just, Richard E., 2003. "Risk research in agricultural economics: opportunities and challenges for the next twenty-five years," Agricultural Systems, Elsevier, vol. 75(2-3), pages 123-159.
    18. Letort, Elodie & Carpentier, Alain, 2009. "On Modelling Acreage Decisions within the Multinomial Logit Framework," 2009 Conference, August 16-22, 2009, Beijing, China 51615, International Association of Agricultural Economists.
    19. Letort, Elodie & Carpentier, Alain, 2010. "Variable Input Allocation: Why Heterogeneity Matters?," 120th Seminar, September 2-4, 2010, Chania, Crete 109387, European Association of Agricultural Economists.
    20. Matthew Andersen & Julian Alston & Philip Pardey, 2012. "Capital use intensity and productivity biases," Journal of Productivity Analysis, Springer, vol. 37(1), pages 59-71, February.
    21. Bittencourt, Mauricio Vaz Lobo & Sampaio, Armando Vaz, 2011. "Are Dual and Primal Estimations Equivalent in the Presence of Stochastic Errors in Input Demand?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    22. Carpentier, Alain & Letort, Elodie, 2010. "Simple econometric models for short term production choices in cropping systems," Working Papers 210387, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    23. John C. Beghin & Jean-Christophe Bureau & Alexandre Gohin, 2017. "The Impact of an EU–US Transatlantic Trade and Investment Partnership Agreement on Biofuel and Feedstock Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 321-344, June.

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