Learning By Suffering?

IF 3.1 2区 经济学 Q1 ECONOMICS American Journal of Health Economics Pub Date : 2020-09-09 DOI:10.1086/711564
G. Jin, Thomas G. Koch
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引用次数: 5

Abstract

An annual flu vaccination is one of the least controversial and most widely recommended preventive health measures. However, only a fraction of those who are suggested to get a flu vaccination actually receive it. We focus on past personal outcomes to understand how individual learning influences patterns over time using medical claims for a 5 percent panel sample of Medicare beneficiaries. We find that individuals learn from personal suffering from the flu and such learning is conditional on whether they had taken a flu vaccination in the same flu season. If they did not get vaccinated for the flu, having the flu later on encourages them to get the flu vaccine the following year. But if they had been vaccinated and still got the flu, their likelihood of getting a flu shot next year is significantly reduced. The outbreak of the H1N1 flu did not break the qualitative pattern of “learning by suffering” but it does change the magnitude of response.
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在痛苦中学习?
每年接种流感疫苗是最不具争议和最广泛推荐的预防健康措施之一。然而,只有一小部分被建议接种流感疫苗的人真正接种了疫苗。我们关注过去的个人结果,以了解个人学习如何随着时间的推移影响模式,使用5%的医疗保险受益人小组样本的医疗索赔。我们发现,个人从患流感的个人中学习,而这种学习是有条件的,即他们是否在同一流感季节接种了流感疫苗。如果他们没有接种流感疫苗,晚些时候患流感会鼓励他们在第二年接种流感疫苗。但如果他们已经接种了疫苗,但仍然感染了流感,他们明年接种流感疫苗的可能性就会大大降低。甲型H1N1流感的爆发并没有打破“从痛苦中学习”的定性模式,但确实改变了应对的力度。
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来源期刊
CiteScore
4.30
自引率
2.70%
发文量
34
期刊介绍: The American Journal of Health Economics (AJHE) provides a forum for the in-depth analysis of health care markets and individual health behaviors. The articles appearing in AJHE are authored by scholars from universities, private research organizations, government, and industry. Subjects of interest include competition among private insurers, hospitals, and physicians; impacts of public insurance programs, including the Affordable Care Act; pharmaceutical innovation and regulation; medical device supply; the rise of obesity and its consequences; the influence and growth of aging populations; and much more.
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