Gudbrand Lien

TL;DR: In this article, a broad selection of stochastic frontier models based on different assumptions and specifications of heterogeneity, heteroskedasticity and technical inefficiency were used to estimate technical efficiency of Norwegian grain farmers.

TL;DR: In this paper, a method of stochastic dominance analysis with respect to a function (SDRF) is described and illustrated, which can be applied for conforming utility functions with risk attitudes defined by corresponding ranges of absolute, relative or partial risk aversion coefficients.

TL;DR: In this paper, a broad selection of stochastic frontier models based on different assumptions and specifications of heterogeneity, heteroskedasticity and technical inefficiency were used to estimate technical efficiency of Norwegian grain farmers.

TL;DR: In this paper, a method of stochastic dominance analysis with respect to a function (SDRF) is described and illustrated, which can be applied for conforming utility functions with risk attitudes defined by corresponding ranges of absolute, relative or partial risk aversion coefficients.

TL;DR: In this article, the authors explored organic and conventional dairy farmers' perceptions of risk and risk management, and examined relationships between farm and farmer characteristics, risk perceptions, and strategies, and found that organic farmers gave more weight to institutional factors related to their production systems compared to their conventional colleagues.