Meta‐analysis in model implementation: choice sets and the valuation of air quality improvements
展示如何用元分析方法总结离散选择模型中关于选择集假设的敏感性分析结果，并以洛杉矶社区和住房选择为例评估空气质量改善的福利。
Abstract This research illustrates how the methods developed for meta‐analysis can serve to document and summarize voluminous information derived from repeated sensitivity analyses. Our application is to the sensitivity of welfare estimates derived from discrete choice models to assumptions about the choice set. These assumptions affect welfare estimates through both the estimated parameters of the model and, conditional on the parameters, the substitution among alternatives. In our specific application, the evaluation is in terms of estimated benefits of air quality improvements in Los Angeles based on discrete choices of neighborhood and housing. Copyright © 2007 John Wiley & Sons, Ltd.