Estimating technical efficiency at farm level when plot-level data are available

IF 3.5 2区 经济学 Q2 AGRICULTURAL ECONOMICS & POLICY
Yashree Mehta, Bernhard Brümmer
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引用次数: 0

Abstract

Ownership of multiple plots by a farmer leads to hierarchical structure of data on production. Researchers use averaging of plot-level technical efficiency scores for computing the farm-level technical efficiency score. With Monte Carlo simulation, we checked the performance of averaging and that of the linear mixed effects model in estimating the true farm efficiency. We generated true efficiency scores under half-normal, normal, and skew-normal distributions of the farm-level random effect. Plot-level score averaging did not estimate the true efficiency. The linear mixed effects model preserved the ranking as well as estimated the true farm-level efficiency score.
在有地块数据的情况下,估算农场层面的技术效率
一个农民拥有多块土地导致生产数据的分层结构。研究人员利用小区级技术效率得分的平均值来计算农场级技术效率得分。通过蒙特卡罗模拟,验证了平均模型和线性混合效应模型在估计真实农场效率方面的性能。我们在农场水平随机效应的半正态分布、正态分布和偏正态分布下生成了真实的效率分数。情节水平平均分不能估计真实的效率。线性混合效应模型保留了排名,并估计了真实的农场水平效率得分。
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来源期刊
European Review of Agricultural Economics
European Review of Agricultural Economics 管理科学-农业经济与政策
CiteScore
6.60
自引率
5.90%
发文量
25
审稿时长
>24 weeks
期刊介绍: The European Review of Agricultural Economics serves as a forum for innovative theoretical and applied agricultural economics research. The ERAE strives for balanced coverage of economic issues within the broad subject matter of agricultural and food production, consumption and trade, rural development, and resource use and conservation. Topics of specific interest include multiple roles of agriculture; trade and development; industrial organisation of the food sector; institutional dynamics; consumer behaviour; sustainable resource use; bioenergy; agricultural, agri-environmental and rural policy; specific European issues. Methodological articles are welcome. All published papers are at least double peer reviewed and must show originality and innovation. The ERAE also publishes book reviews.
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