A Semi-parametric Analysis of Technology, with an Application to U.S. Dairy Farms

Gustavos de los Campos, Jeremy Foltz, Jean-Paul Chavas () and Daniel Gianola
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Gustavos de los Campos: University of Alabama, Birmingham
Daniel Gianola: University of Wisconsin

Staff Paper Series from University of Wisconsin, Agricultural and Applied Economics

Abstract: This article proposes a semi-parametric stochastic frontier model (SPSF) in which components of the technology and of technical efficiency are represented using semi-parametric methods and estimated in a Bayesian framework. The approach is illustrated in an application to US farm data. The analysis shows important scale economies for small and medium herds and constant return to scale for larger herds. With the exception of labor, estimates of marginal products were close to the value expected under profit maximization. Finally, the results suggest important opportunities to increase productivity through reductions in technical inefficiencies.

Date: 2010-03
New Economics Papers: this item is included in nep-agr and nep-eff
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Working Paper: A Semi-Parametric Analysis of Technology, with an Application to U.S. Dairy Farms (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:wisagr:545

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