Subjective Distributions As Econometric Response Data
Abstract
Analysis of actual observations of response processes is a routine procedure in applied econometrics but methods of dealing with purely subjective probability distributions as response 'data' have seemingly not hitherto been worked out. The models and methods developed here go some way to filling this void. They are illustrated by using information from a cross-sectional study of sixty Nepalese small-scale farmers. Means and variances of subjective probability distributions for rice paddy yields under different technologies are related to controlled inputs, such as fertiliser levels, and to relevant socio-economic aspects of farmers themselves, such as technological knowledge and farm size.Download Info
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Article provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural Economics.
Volume (Year): 31 (1987)
Issue (Month): 02 (August)
Pages:
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Related research
Keywords: Research Methods/ Statistical Methods;Other versions of this item:
- William E. Griffiths & Jock R. Anderson & K.B. Hamal, 1987. "Subjective Distributions As Econometric Response Data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 31(2), pages 127-141, 08.
References
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"A Bayesian Framework For Optimal Input Allocation With An Uncertain Stochastic Production Function,"
Australian Journal of Agricultural and Resource Economics,
Australian Agricultural and Resource Economics Society, vol. 30(2-3), pages 128-152, 08-12.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Norris, Patricia E. & Kramer, Randall A., 1990. "The Elicitation of Subjective Probabilities with Applications in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58, December.
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