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The determinants of technology adoption by UK farmers using Bayesian model averaging: the cases of organic production and computer usage

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  • Richard Tiffin
  • Kelvin Balcombe

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.

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File URL: http://hdl.handle.net/10.1111/j.1467-8489.2011.00549.x
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Bibliographic Info

Article provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural and Resource Economics.

Volume (Year): 55 (2011)
Issue (Month): 4 (October)
Pages: 579-598

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Handle: RePEc:bla:ajarec:v:55:y:2011:i:4:p:579-598

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  1. Carmen Fernandez & Eduardo Ley & Mark F.J. Steel, 1998. "Benchmark Priors for Bayesian Model Averaging," Econometrics 9804001, EconWPA, revised 31 Jul 1999.
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