Experimental evidence, scaling and public policy: a perspective from developing countries

Anandi Mani

Behavioural Public Policy, 2021, vol. 5, issue 1, 103-111

Abstract: I highlight two important factors particular to less-developed countries that can bias evidence generation and contribute to the ‘voltage drop’ in programme benefits, moving from field research experiments to policy implementation at scale. The first is the non-linear increase in information processing and coordination costs associated with upscaling in less-developed countries, given limited state capacity and rigid organizational hierarchies. The second is political bias in the choice of programmes considered for rigorous evaluation itself, resulting in distorted evidence and policy choice. These two factors raise considerations that complement the economics-based approach outlined by Al-Ubaydli et al. in the quest for more rigorous, evidence-based policy.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

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:cup:bpubpo:v:5:y:2021:i:1:p:103-111_8

Access Statistics for this article

More articles in Behavioural Public Policy from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().