文章基本信息

标题：An Evaluation of the Soda Tax with Multivariate Nonparametric Regressions
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作者：Belasco, Eric J. ; Ghosh, Sujit K. ; Chidmi, Benaissa 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2010
卷号：SUPPL
出版社：Food Distribution Research Society
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.
关键词：censoring;health taxes;nonparametric regressions