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来源类型Working Paper
规范类型报告
DOI10.3386/w27198
来源IDWorking Paper 27198
Identification of Time-Inconsistent Models: The Case of Insecticide Treated Nets
Aprajit Mahajan; Christian Michel; Alessandro Tarozzi
发表日期2020-05-25
出版年2020
语种英语
摘要Time-inconsistency may play a central role in explaining inter-temporal behavior, particularly among poor households. However, little is known about the distribution of time-inconsistent agents, and time-preference parameters are typically not identified in standard dynamic choice models. We formulate a dynamic discrete choice model in an unobservedly heterogeneous population of possibly time-inconsistent agents. We provide conditions under which all population type probabilities and preferences for both time-consistent and sophisticated agents are point-identified and sharp set-identification results for naïve and partially sophisticated agents. Estimating the model using data from a health intervention providing insecticide treated nets (ITNs) in rural Orissa, India, we find that time-inconsistent agents account for almost 80 percent of our sample and that sophisticated and naïve agents are considerably present-biased. Counterfactuals show that the under-investment in ITNs attributable to present-bias leads to substantial costs that are about six times the price of an ITN.
主题Microeconomics ; Behavioral Economics ; Health, Education, and Welfare ; Health ; Poverty and Wellbeing
URLhttps://www.nber.org/papers/w27198
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/584871
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Aprajit Mahajan,Christian Michel,Alessandro Tarozzi. Identification of Time-Inconsistent Models: The Case of Insecticide Treated Nets. 2020.
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