The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage

Kelvin Balcombe and Richard Tiffin ()

MPRA Paper from University Library of Munich, Germany

Abstract: We introduce and implement a reversible jump approach to Bayesian Model Averaging for the Probit model with uncertain regressors. This approach provides a direct estimate of the probability that a variable should be included in the model. Two applications are investigated. The �rst is the adoption of organic systems in UK farming, and the second is the in�uence of farm and farmer characteristics on the use of a computer on the farm. While there is a correspondence between the conclusions we would obtain with and without model averaging results, we �find important di¤erences, particularly in smaller samples.

Keywords: Agriculture; Adoption; Model Averaging; Organic; Computer (search for similar items in EconPapers)
JEL-codes: C11 Q16 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-agr
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Related works:
Journal Article: The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage (2011)
Journal Article: The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:25193

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