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英文文献：An Evaluation of the Soda Tax with Multivariate Nonparametric Regressions-苏打税的多元非参数回归评价
英文文献作者：Belasco, Eric J.,Ghosh, Sujit K.,Chidmi, Benaissa
英文文献摘要：
This research extends past work by Shonkwiler and Yen (1999) by allowing for distributional flexibility and nonlinear responses in the form of established semiparametric and nonparametric regressions. The proposed models are shown to outperform the parametric version typically used in demand analysis to characterize a system of censored equations in terms of model fit and prediction power. Using the developed models, we derive elasticities associated with different individual-specific scenarios with regard to the recently proposed “penny-an-ounce” tax on soft drinks sweetened with sugar.
本研究扩展了Shonkwiler和Yen(1999)过去的工作，允许以半参数和非参数回归的形式进行分布灵活性和非线性响应。在模型拟合和预测能力方面，所提出的模型被证明优于在需求分析中典型用于描述截尾方程系统特征的参数化版本。根据最近提出的对加糖软饮料征收“每盎司一分钱”税的建议，利用已开发的模型，我们推导出了与不同个人具体情况相关的弹性系数。
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