Stochastic biases in technical change in South African agriculture
This paper examines biased technical change in South African agriculture using a system of share equations with unobserved components. Developing on the work of Lambert and Shonkwiler (1995), this paper generalises previous work by introducing independent unobserved components into each model using a regression-based approach. We find evidence of stochastic technical change, which is itself biased between the four factors of production: machinery, land, labour and fertiliser, and which closely reflects distinct phases of South African agricultural policy and development.
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- Nick Vink & Gavin Williams & Johann Kirsten, 2004.
in: The World's Wine Markets, chapter 12
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