We present a decision-making experiment, conducted in the field, that explores the extent to which learning in a bandit game predicts technology choice on the farm. We find evidence of heterogeneity of learning in the bandit game, including overweighting of winning draws and Bayesian updating. Our results suggest that learners who overweight recent draws are more likely to have adopted new farm crops within the previous year.

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