Learning in a Bandit Game and Technology Choice

Kaywana Raeburn, Jim Engle-Warnick, Sonia Laszlo and Jian Li

CIRANO Working Papers from CIRANO

Abstract: 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.

Keywords: Bandit Games; Technology Choice; Field Experiment (search for similar items in EconPapers)
JEL-codes: C90 O33 Q16 (search for similar items in EconPapers)
Date: 2016-08-29
New Economics Papers: this item is included in nep-exp
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://cirano.qc.ca/files/publications/2016s-47.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cir:cirwor:2016s-47

Access Statistics for this paper

More papers in CIRANO Working Papers from CIRANO Contact information at EDIRC.
Bibliographic data for series maintained by Webmaster ().