ME estimation of input and output biases of technical and policy change in UK agriculture, 1953 to 2000

Journal of Agricultural Economics

Volumn 55, Issue 2, 2004, Pages 385-400

  Bailey, Alastair ^a   Balcombe, Kelvin ^a   Thirtle, Colin ^a,b   Jenskins, Lindie ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL PERFORMANCE; AGRICULTURAL POLICY; POLICY ANALYSIS; PRODUCTIVITY; PROFITABILITY;

EURASIA; EUROPE; UNITED KINGDOM; WESTERN EUROPE;

EID: 4143141920     PISSN: 0021857X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1477-9552.2004.tb00102.x     Document Type: Article

References (16)

1. Bailey, A.S., Balcombe, K. and Morrison, J.(2003). A Comparison of Proxy Variable and Stochastic Latent Variable Approaches to the Measurement of the Biased Technological Change in South African Agriculture. Economics of Innovation and New Technology 21(4):315-324.
2. Chambers, R.G. (1988). Applied Production Analysis: A Dual Approach. Cambridge University Press.
3. Clark, J.S. and Youngblood, C.E. (1992). Estimating Duality Models with Biased Technical Change: A Time Series Approach, American Journal of Agricultural Economics 74:353-360.
4. Fraser, R.W.(2001). Using Principal-Agent Theory to Deal with Output Slippage in the European Union Set-Aside Policy. Journal of Agricultural Economics 52:29-41.
5. Golan, A., Judge, G. and Miller,D.(1996). Maximum Entropy Econometrics, Robust Estimation with Limited Data, John Wiley & Sons.
6. Griffiths, W.E., O'Donnell, C.J.and Tan Cruz, A. (2000). Imposing Regularity Conditions on a System of Cost and Factor Share Equations. The Australian Journal of Agricultural and Resource Economics, 44(1):107-127.
7. Holding, J. and C.G. Thirtle (2002). Productivity of UK Agriculture - Causes and Constraints, Final Report on Project No. ER0001/3, DEFRA (UK)
8. Judge, G., Griffiths, W., Carter Hill, R., Lutkepohl, H. and Lee, T.C. (1985). The Theory and Practice of Econometrics, Second Edition, John Wiley & Sons.
9. Khatri, Y., Thirtle, C. (1996). Supply and Demand Functions for UK Agriculture: Biases of Technical Change and the Returns to Public R&D. Journal of Agricultural Economics 47(3):338-354.
10. Khatri, Y., Thirtle, C. and van Zyl, J. (1996). Public Research and Development as a Source of Productivity Change in South African Agriculture, South African Journal of Science 92:143-50.
11. Kullback, J. (1959). Information Theory and Statistics. John Wiley, New York.
12. Lambert, D.K. and Shonkwiler, J.S. (1995). Factor Bias Under Stochastic Technical Change, American Journal of Agricultural Economics 77:578-590.
13. Paris, Q. and Howett, R.E. (1998). An Analysis of III-Posed Production Problems Using Maximum Entropy. American Journal of Agricultural Economics 80:124-138.
14. Schimmelpfennig, D.S., Thirtle, C. and van Zyl, J. (2000). Short and Long Run Returns to Agricultural R&D in South Africa, or Will the Real Rate of Return Please Stand Up?, Agricultural Economics 24:1-15.
15. Shannon, C.E. (1948). A Mathematical Theory of Communication, Bell Systems Technical Journal 27:379-423.
16. Townsend, R.F, Khatri, Y, and Thirtle, C. (1998) Biases of Technical Change in South African Agriculture: A Cost Function Approach, Journal of Studies in Economics and Econometrics 22:15-27