英文文献：Meta-Regression Estimates for CGE Models: A Case Study for Input Substitution Elasticities in Production Agriculture-CGE模型的元回归估计:生产性农业投入替代弹性的案例研究
英文文献作者：Boys, Kathryn A.,Florax, Raymond J.G.M.
英文文献摘要：
The selection of appropriate parameters for computable general equilibrium (CGE) models critically affects the results of applied economic modeling exercises. Valid and reliable parameter selection models are needed, and typically comprise direct estimation, expert opinion, or copycatting of results from seminal studies. The purpose of this study is to use meta-analysis to summarize and more accurately estimate elasticities of input substitution, specifically between labor and other inputs in agricultural production. We construct a comprehensive database of elasticity estimates through an extensive literature review, and perform a meta-regression analysis to identify structural sources of variation in elasticity estimates sampled from primary studies. The use of meta-analysis contributes to improved baseline analysis in CGE simulations because it allows for the computation of input parameters tailored to a specific CGE model setup. We correct for variations in research design, which are typically constant within studies, and account for bias associated with undue selection effects associated with editorial publication decision processes. Improved accuracy and knowledge of the distribution of imputed input parameters derived from a meta-analysis contributes to improved performance of CGE sensitivity analyses.

可计算一般均衡(CGE)模型的适当参数的选择对应用经济建模练习的结果有重要影响。需要有效和可靠的参数选择模型，并且典型地包括直接估计、专家意见或对重要研究结果的复制。本研究的目的是使用元分析来总结和更准确地估计投入替代弹性，特别是劳动力和农业生产中的其他投入之间的弹性。通过广泛的文献综述，我们构建了一个弹性估计的综合数据库，并进行元回归分析，以确定抽样自初级研究的弹性估计的结构变异来源。元分析的使用有助于改进CGE模拟中的基线分析，因为它允许计算根据特定CGE模型设置定制的输入参数。我们修正了研究设计中的差异，这在研究中通常是恒定的，并解释了与编辑出版决策过程相关的不当选择效应相关的偏差。通过meta分析得到的输入参数分布的准确性和知识的提高有助于提高CGE敏感性分析的性能。