Learning Through Noticing: Theory and Experimental Evidence in Farming

Rema Hanna, Sendhil Mullainathan and Josh Schwartstein

No 245, CID Working Papers from Center for International Development at Harvard University

Abstract: Existing learning models attribute failures to learn to a lack of data. We model a different barrier. Given the large number of dimensions one could focus on when using a technology, people may fail to learn because they failed to notice important features of the data they possess. We conduct a field experiment with seaweed farmers to test a model of "learning through noticing." We find evidence of a failure to notice: On some dimensions, farmers do not even know the value of their own input. Interestingly, trials show that these dimensions are the ones that farmers fail to optimize. Furthermore, consistent with the model, we find that simply having access to the experimental data does not induce learning. Instead, farmers change behavior only when presented with summaries that highlight the overlooked dimensions. We also draw out the implications of learning through noticing for technology adoption, agricultural extension, and the meaning of human capital.

Keywords: Farming; Experimental Evidence (search for similar items in EconPapers)
Date: 2012-09
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Citations: View citations in EconPapers (18)

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Related works:
Working Paper: Learning through Noticing: Theory and Experimental Evidence in Farming (2012)
Working Paper: Learning Through Noticing: Theory and Experimental Evidence in Farming (2012)
Working Paper: Learning Through Noticing: Theory and Experimental Evidence in Farming (2012)
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