PRODUCTION ANALYSIS: A NON‐PARAMETRIC TIME SERIES APPLICATION TO US AGRICULTURE

Jean-Paul Chavas () and Thomas L. Cox

Journal of Agricultural Economics, 1997, vol. 48, issue 1‐3, 330-348

Abstract: The paper investigates production analysis using non‐parametric methods. When all data are not consistent with profit maximisation, we propose a method relying on the concept of ‘effective inputs and outputs’ to evaluate technology and economic behaviour. The approach is illustrated in a time series application to US agriculture. The results provide empirical measures of productivity growth. They also generate useful information on the ‘bias in technical change’ in US agriculture.

Date: 1997
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https://doi.org/10.1111/j.1477-9552.1997.tb01158.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jageco:v:48:y:1997:i:1-3:p:330-348

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