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Input Demands and Inefficiency in U.S. Agriculture

Author

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  • Christopher J. O'Donnell
  • C. Richard Shumway
  • V. Eldon Ball

Abstract

Markov Chain Monte Carlo (MCMC) methods are used to estimate a seemingly unrelated regression (SUR) system of input demand functions for U.S. agriculture. Our demand functions have flexible forms and allow for nonrandom technical inefficiency. Concavity constraints are imposed at individual data points, and the distributions of measures of relative technical efficiency are constrained to the unit interval. Results are evaluated in terms of characteristics of the posterior distributions of parameters, measures of relative technical efficiency, and other nonlinear functions of the parameters. Copyright 1999, Oxford University Press.

Suggested Citation

  • Christopher J. O'Donnell & C. Richard Shumway & V. Eldon Ball, 1999. "Input Demands and Inefficiency in U.S. Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 865-880.
    • Handle: RePEc:oup:ajagec:v:81:y:1999:i:4:p:865-880
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    Citations

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    Cited by:

    1. Christopher J. O'Donnell & Alicia N. Rambaldi & Howard E. Doran, 2001. "Estimating economic relationships subject to firm- and time-varying equality and inequality constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 709-726.
    2. Tocco, Barbara & Bailey, Alastair & Davidova, Sophia, 2013. "The Theoretical Framework and Methodology to Estimate the Farm Labour and Other Factor-Derived Demand and Output Supply Systems," Working papers 155702, Factor Markets, Centre for European Policy Studies.
    3. Matt A. Andersen & Julian M. Alston & Philip G. Pardey, 2010. "Capital Services in U.S. Agriculture: Concepts, Comparisons, and the Treatment of Interest Rates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 714-734.
    4. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    5. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    6. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. A. Onofri & L. Fulginiti, 2008. "Rejoinder," Journal of Productivity Analysis, Springer, vol. 30(1), pages 81-85, August.
    8. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    9. Dr Alicia Rambaldi & Dr Chris O'Donnell & Howard E.Doran, 2003. "Imposing Observation-Varying Equality Constraints Using Generalised Restricted Least Squares," Discussion Papers Series 323, School of Economics, University of Queensland, Australia.
    10. Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2009. "Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture," Staff Papers 50098, University of Minnesota, Department of Applied Economics.
    11. Alejandro Onofri & Lilyan Fulginiti, 2008. "Public inputs and dynamic producer behavior: endogenous growth in U.S. agriculture," Journal of Productivity Analysis, Springer, vol. 30(1), pages 13-28, August.
    12. Alejandro Plastina & Sergio H. Lence & Ariel Ortiz‐Bobea, 2021. "How weather affects the decomposition of total factor productivity in U.S. agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 215-234, March.
    13. Plastina, Alejandro S. & Fulginiti, Lilyan E., 2006. "The Effects of Public R&D on U.S. Agriculture: A State-Level Analysis," 2006 Annual meeting, July 23-26, Long Beach, CA 21226, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Alejandro Onofri & Lilyan E. Fulginiti, 2005. "Public Inputs and Productivty in the Agricultural Sector: A Dynamic Dual Approach," Others 0502011, University Library of Munich, Germany.
    15. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    16. Hendrik Wolff & Thomas Heckelei & Ron Mittelhammer, 2010. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 309-339, December.
    17. Hilmer, Christiana E. & Holt, Matthew T., 2000. "A Comparison Of Resampling Techniques When Parameters Are On A Boundary: The Bootstrap, Subsample Bootstrap, And Subsample Jackknife," 2000 Annual meeting, July 30-August 2, Tampa, FL 21810, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Conradie, Beatrice, 2005. "Wages and wage elasticities for wine and table grapes in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-19, March.

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