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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w21387 |
来源ID | Working Paper 21387 |
Which Models Can We Trust to Evaluate Consumer Decision Making? Comment on \u201cChoice Inconsistencies among the Elderly\u201d | |
Jonathan D. Ketcham; Nicolai V. Kuminoff; Christopher A. Powers | |
发表日期 | 2015-07-27 |
出版年 | 2015 |
语种 | 英语 |
摘要 | Neoclassical and psychological models of consumer behavior often make divergent predictions for the welfare effects of paternalistic policies, leaving wide scope for researchers’ choice of a model to influence their policy conclusions. We develop a framework to reduce this model uncertainty and apply it to administrative data on consumer decision making in Medicare Part D. Consumers’ choices for prescription drug insurance plans can be explained by Abaluck and Gruber’s (AER 2011) model of utility maximization with psychological biases or by a neoclassical version of their model that precludes such biases. We evaluate these competing hypotheses using nonparametric tests of utility maximization and a trio of model validation tests. We find that 79% of enrollment decisions in Medicare Part D from 2006-2010 satisfied basic axioms of consumer preference theory under the assumptions of full information, zero transaction cost, and no measurement error. The validation tests provide evidence against widespread psychological biases. In particular, we find that precluding psychological biases improves the structural model’s out-of-sample predictions for consumer behavior. |
主题 | Microeconomics ; Households and Firms ; Health, Education, and Welfare ; Health ; Poverty and Wellbeing |
URL | https://www.nber.org/papers/w21387 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/579062 |
推荐引用方式 GB/T 7714 | Jonathan D. Ketcham,Nicolai V. Kuminoff,Christopher A. Powers. Which Models Can We Trust to Evaluate Consumer Decision Making? Comment on \u201cChoice Inconsistencies among the Elderly\u201d. 2015. |
条目包含的文件 | 条目无相关文件。 |
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