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Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture

Listed author(s):
  • Bailey, Alastair
  • Irz, Xavier
  • Balcombe, Kelvin

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File URL: http://www.sciencedirect.com/science/article/pii/S0169-5150(04)00104-5
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Article provided by Blackwell in its journal Agricultural Economics.

Volume (Year): 31 (2004)
Issue (Month): 2-3 (December)
Pages: 285-295

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Handle: RePEc:eee:agecon:v:31:y:2004:i:2-3:p:285-295
Contact details of provider: Web page: http://www.blackwell-synergy.com/loi/agec

References listed on IDEAS
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  1. Nelson, Richard R & Pack, Howard, 1999. "The Asian Miracle and Modern Growth Theory," Economic Journal, Royal Economic Society, vol. 109(457), pages 416-436, July.
  2. Murgai, Rinku, 2001. "The Green Revolution and the productivity paradox: evidence from the Indian Punjab," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(2-3), September.
  3. Murgai, Rinku, 2001. "The Green Revolution and the productivity paradox: evidence from the Indian Punjab," Agricultural Economics, Blackwell, vol. 25(2-3), pages 199-209, September.
  4. Kelvin Balcombe & Alastair Bailey & Jamie Morrison, 2002. "Stochastic Biases in Technical Change in U.S. Agriculture: A Bootstrap Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(1), pages 67-84, 03.
  5. Diamond, Peter & McFadden, Daniel & Rodriguez, Miguel, 1978. "Measurement of the Elasticity of Factor Substitution and Bias of Technical Change," Histoy of Economic Thought Chapters,in: Fuss, Melvyn & McFadden, Daniel (ed.), Production Economics: A Dual Approach to Theory and Applications, volume 2, chapter 5 McMaster University Archive for the History of Economic Thought.
  6. Murgai, Rinku, 1999. "The green revolution and the productivity paradox : evidence from the Indian Punjab," Policy Research Working Paper Series 2234, The World Bank.
  7. J. Stephen Clark & Curtis E. Youngblood, 1992. "Estimating Duality Models with Biased Technical Change: A Time Series Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 353-360.
  8. Ahearn, Mary Clare & Yee, Jet & Ball, V. Eldon & Nehring, Richard F., 1998. "Agricultural Productivity in the United States," Agricultural Information Bulletins 33687, United States Department of Agriculture, Economic Research Service.
  9. Felipe, Jesus & McCombie, J. S. L., 2001. "Biased Technical Change, Growth Accounting, and the Conundrum of the East Asian Miracle," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 542-565, September.
  10. David K. Lambert & J.S. Shonkwiler, 1995. "Factor Bias under Stochastic Technical Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 578-590.
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