Successfully Scaled Solutions Need Not be Homogenous

15 Pages Posted: 7 Jul 2020

See all articles by Dilip Soman

Dilip Soman

University of Toronto - Behavioural Economics in Action at Rotman (BEAR)

Tanjim Hossain

University of Toronto

Date Written: June 1, 2020

Abstract

Al-Ubaydli et al (2020) point out that many research findings experience a reduction in magnitude of treatment effects when scaled, and make a number of proposals to improve the scalability of pilot project findings. While we agree that scalability is important for policy relevance, we argue that non-scalability does not always render a research finding useless in practice. Three practices – a) ensuring that the intervention is appropriate for the context, b) that heterogeneity in treatment effects are understood, and c) that the temptation to try multiple interventions simultaneously is avoided can allow us to customize successful policy prescriptions to specific real-world settings.

Keywords: Behavioural Interventions, Choice Architecture, Scaling, Knowledge Translation, Policy Relevance

JEL Classification: D03, D04, D09, D60, H3

Suggested Citation

Soman, Dilip and Hossain, Tanjim, Successfully Scaled Solutions Need Not be Homogenous (June 1, 2020). Available at SSRN: https://ssrn.com/abstract=3624305 or http://dx.doi.org/10.2139/ssrn.3624305

Dilip Soman (Contact Author)

University of Toronto - Behavioural Economics in Action at Rotman (BEAR) ( email )

Tanjim Hossain

University of Toronto ( email )

105 St George Street
Toronto, Ontario M5S 3G8
Canada

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