Causal Interaction and External Validity: Obstacles to the Policy Relevance of Randomized Evaluations
The World Bank Economic Review, 2015, vol. 29, issue suppl_1, S217-S225
The ability to generalize effects estimated from randomized experiments is critical for their relevance to policy. Framing that problem in terms of causal interaction reveals the extent to which the literature to date has failed to adequately address external validity. An analogy with matching estimators illustrates the current inconsistency in approaches to estimating causal relationships and generalizing these estimates to other populations and contexts. Contrary to some claims, atheoretic replication is not a plausible solution. Better knowledge of, and more information on, interacting factors is required for credible, formal extrapolation. In the absence of that, modesty is recommended.
References: Add references at CitEc
Citations: View citations in EconPapers (19) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:oup:wbecrv:v:29:y:2015:i:suppl_1:p:s217-s225.
Ordering information: This journal article can be ordered from
Access Statistics for this article
The World Bank Economic Review is currently edited by Eric Edmonds and Nina Pavcnik
More articles in The World Bank Economic Review from World Bank Group Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().