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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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  • Balcombe, Kelvin
  • Tiffin, R

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.

Suggested Citation

  • Balcombe, Kelvin & Tiffin, R, 2010. "The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage," MPRA Paper 25193, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:25193
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    References listed on IDEAS

    as
    1. Kelvin Balcombe & George Rapsomanikis, 2010. "An Analysis of the Impact of Research and Development on Productivity Using Bayesian Model Averaging with a Reversible Jump Algorithm," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 985-998.
    2. Chib, Siddhartha & Greenberg, Edward, 1994. "Bayes inference in regression models with ARMA (p, q) errors," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 183-206.
    3. Hoag, Dana L. & Ascough, James C. & Frasier, W. Marshall, 1999. "Farm Computer Adoption in the Great Plains," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(01), pages 57-67, April.
    4. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    5. Leon-Gonzalez, Roberto & Scarpa, Riccardo, 2008. "Improving multi-site benefit functions via Bayesian model averaging: A new approach to benefit transfer," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 50-68, July.
    6. Michael Burton & Dan Rigby & Trevor Young, 1999. "Analysis of the Determinants of Adoption of Organic Horticultural Techniques in the UK," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 47-63.
    7. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    8. Hoag, Dana L. & Ascough, James C. & Frasier, W. Marshall, 1999. "Farm Computer Adoption In The Great Plains," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(01), April.
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    More about this item

    Keywords

    Agriculture; Adoption; Model Averaging; Organic; Computer;

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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