10/24/2025 | Press release | Distributed by Public on 10/24/2025 08:06
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