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2016

Book Chapter

Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture

O’Donnell, Christopher J. (2016). Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture. Data Envelopment Analysis A Handbook of Empirical Studies and Applications. (pp. 515-541) edited by Joe Zhu. Switzerland: Springer. doi: 10.1007/978-1-4899-7684-0_17

Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture

2006

Book Chapter

A Comparison of Bayesian and Sampling Theory Inferences in a Probit Model

Griffiths, W. E., Hill, R. C. and O'Donnell, C. J. (2006). A Comparison of Bayesian and Sampling Theory Inferences in a Probit Model. Essays in Honor of Stanley R. Johnson. (pp. 1-13) edited by M. Holt and J-P. Chavas. Berkeley, CA United States: Bepress.

A Comparison of Bayesian and Sampling Theory Inferences in a Probit Model

2002

Book Chapter

Parametric estimation of technical and allocative efficiency in U.S. agriculture

O'Donnell, C. J. (2002). Parametric estimation of technical and allocative efficiency in U.S. agriculture. Agricultural productivity: measurement and sources of growth. (pp. 137-166) edited by V. E. Ball and G. E. Norton. Boston: Kluwer Academic.

Parametric estimation of technical and allocative efficiency in U.S. agriculture

2002

Book Chapter

Transitive Multilateral Comparisons of Output, Input and Productivity: A Nonparametric Approach

Ball, V. Eldon, O'Donnell, Christopher J. and Rao, Prasada D. S. (2002). Transitive Multilateral Comparisons of Output, Input and Productivity: A Nonparametric Approach. Agricultural Productivity: Measurement and Sources of Growth. (pp. 85-116) Boston, MA, U.S.A: Kluwer Academic Publishers.

Transitive Multilateral Comparisons of Output, Input and Productivity: A Nonparametric Approach