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Microsimulating Farm Business Performance

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Tools and Techniques for Social Science Simulation

Abstract

Over the last ten years the Australian Bureau of Agricultural and Resource Economics (ABARE) has developed methodology for forecasting individual level farm business performance which accounts for the dynamic response of farms to macro level price expectations. This paper describes how these methods can be used in microsimulation.

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References

  • Efron, B. & Tibshirani, R. J. (1993): An Introduction to the Bootstrap. Chapman & Hall, New York, London.

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  • Kokic, P., Beare, S., Topp, V. & Tulpulé, V. (1993): Australian Broadacre Agriculture. Forecasting Supply at the Farm Level. ABARE Research Report 93.7.

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  • Kokic, P. N., Moon, L., Gooday, J. & Chambers, R. L. (1995): Estimating Temporal Farm Income Distributions Using Spatial Smoothing Techniques, Australian Journal of Statistics 37, 129–143.

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  • Kokic, P., Chambers, R., & Beare S. (1997a): Microsimulating Farm Business Performance. CSDA Technical paper 97.3, Department of Social Statistics, University of Southampton, UK.

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© 2000 Physica-Verlag Heidelberg

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Kokic, P.N., Chambers, R.L., Beare, S. (2000). Microsimulating Farm Business Performance. In: Suleiman, R., Troitzsch, K.G., Gilbert, N. (eds) Tools and Techniques for Social Science Simulation. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-51744-0_17

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  • DOI: https://doi.org/10.1007/978-3-642-51744-0_17

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1265-7

  • Online ISBN: 978-3-642-51744-0

  • eBook Packages: Springer Book Archive

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