LEARNING THROUGH NOTICING: THEORY AND EVIDENCE FROM A FIELD EXPERIMENT

• 成果类型: Article
• 署名作者: Hanna, Rema; Mullainathan, Sendhil; Schwartzstein, Joshua
• 署名单位: Harvard University; National Bureau of Economic Research; Dartmouth College
• 刊物名称: QUARTERLY JOURNAL OF ECONOMICS
• ISSN/ISSBN: 0033-5533
• DOI: 10.1093/qje/qju015
• 发表日期: 2014
• 页码: 1311-1353
• 关键词: technology adoption; CHOICE; MODEL; population; diffusion; SALIENCE; BEHAVIOR

摘要

We consider a model of technological learning under which people learn through noticing: they choose which input dimensions to attend to and subsequently learn about from available data. Using this model, we show how people with a great deal of experience may persistently be off the production frontier because they fail to notice important features of the data they possess. We also develop predictions on when these learning failures are likely to occur, as well as on the types of interventions that can help people learn. We test the model's predictions in a field experiment with seaweed farmers. The survey data reveal that these farmers do not attend to pod size, a particular input dimension. Experimental trials suggest that farmers are particularly far from optimizing this dimension. Furthermore, consistent with the model, we find that simply having access to the experimental data does not induce learning. Instead, behavioral changes occur only after the farmers are presented with summaries that highlight previously unattended-to relationships in the data.