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Learning Misallocation and Technology Adoption: Evidence from New Malaria Therapy in Tanzania

机译:学习分配不当和技术采用:坦桑尼亚新疟疾治疗的证据

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摘要

I study how the misallocation of new technology to individuals who have low ex post returns to its use affects learning and adoption behavior. I focus on antimalarial treatment, which is frequently over-prescribed in many low-income country contexts where diagnostic tests are inaccessible. I show that misdiagnosis reduces average therapeutic effectiveness, because only a fraction of adopters actually have malaria, and slows the rate of social learning due to increased noise. I use data on adoption choices, the timing and duration of fever episodes, and individual blood slide confirmations of malarial status from a pilot study for a new malaria therapy in Tanzania to show that individuals whose reference groups experienced fewer misdiagnoses exhibited stronger learning effects and were more likely to adopt.
机译:我研究了将新技术误分配给事后收益较低的个人如何影响学习和采用行为。我专注于抗疟疾治疗,在许多无法获得诊断检测的低收入国家,这种治疗经常被过度开处方。我发现误诊会降低平均治疗效果,因为只有一小部分收养者实际上患有疟疾,并且由于噪音增加而减慢了社会学习的速度。我使用有关收养选择,发烧发作的时间和持续时间的数据,以及坦桑尼亚针对一种新的疟疾疗法进行的一项初步研究得出的疟疾状况的个人血行确诊数据,这些数据表明,参考人群遭受误诊的几率较低,他们的学习效果更强,并且更有可能采用。

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