The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs

The sources of production risk are many and diverse in nature. Estimating risk as a black box, without explicit recognition of its sources, can lead to inferior estimates of optimal inputs under risk aversion. In this paper, a method is presented for estimating production functions with measurable s...

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Detalles Bibliográficos
Autores principales: Rosegrant, Mark W., Roumasset, James A.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 1985
Materias:
Acceso en línea:https://hdl.handle.net/10568/170572
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author Rosegrant, Mark W.
Roumasset, James A.
author_browse Rosegrant, Mark W.
Roumasset, James A.
author_facet Rosegrant, Mark W.
Roumasset, James A.
author_sort Rosegrant, Mark W.
collection Repository of Agricultural Research Outputs (CGSpace)
description The sources of production risk are many and diverse in nature. Estimating risk as a black box, without explicit recognition of its sources, can lead to inferior estimates of optimal inputs under risk aversion. In this paper, a method is presented for estimating production functions with measurable stochastic inputs and for generating the parameters of the probability distributions of yield for various environments and input levels. Based on this method, it appears that moderate risk aversion can account for a 6.7 per cent to 16.7 per cent reduction in nitrogen use (relative to the risk‐neutral solution) for selected rice producing areas of the Philippines. Estimating optimal inputs without environment specific information about the sources of risk leads to large errors. This underscores the value of collecting information about the sources of risk and of exercising caution when such information is not available.
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spelling CGSpace1705722025-02-19T14:01:59Z The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs Rosegrant, Mark W. Roumasset, James A. fertilizers mathematical models The sources of production risk are many and diverse in nature. Estimating risk as a black box, without explicit recognition of its sources, can lead to inferior estimates of optimal inputs under risk aversion. In this paper, a method is presented for estimating production functions with measurable stochastic inputs and for generating the parameters of the probability distributions of yield for various environments and input levels. Based on this method, it appears that moderate risk aversion can account for a 6.7 per cent to 16.7 per cent reduction in nitrogen use (relative to the risk‐neutral solution) for selected rice producing areas of the Philippines. Estimating optimal inputs without environment specific information about the sources of risk leads to large errors. This underscores the value of collecting information about the sources of risk and of exercising caution when such information is not available. 1985-08 2025-01-29T12:57:06Z 2025-01-29T12:57:06Z Journal Article https://hdl.handle.net/10568/170572 en Limited Access Wiley Rosegrant, Mark W.; Roumasset, James A. 1985. The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs. American Journal of Agricultural Economics 29(2): 107-121. https://doi.org/10.1111/J.1467-8489.1985.TB00651.X
spellingShingle fertilizers
mathematical models
Rosegrant, Mark W.
Roumasset, James A.
The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs
title The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs
title_full The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs
title_fullStr The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs
title_full_unstemmed The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs
title_short The effect of fertilizer on risk: a heteroscedastic production function with measurable stochastic inputs
title_sort effect of fertilizer on risk a heteroscedastic production function with measurable stochastic inputs
topic fertilizers
mathematical models
url https://hdl.handle.net/10568/170572
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