Misperceptions and product choice: evidence from a randomised trial in Zambia
Do misperceptions deter small retailers from stocking profitable products?
Abstract
The authors apply unsupervised machine learning to the inventories of 2000 shops in Lusaka, Zambia, to identify clusters of similar retailers and flag a “target” product, one stocked by some but not all shops in a cluster.
This paper is part of the Private Enterprise Development in Low-Income Countries (PEDL) programme.
Citation
Bai J and others. ‘Misperceptions and product choice: evidence from a randomised trial in Zambia’ PEDL Working Paper, 2025
Links
Misperceptions and product choice: evidence from a randomised trial in Zambia