Risk and evidence of bias in randomized controlled trials in economics

Eble, Alex, Boone, Peter and Elbourne, Diana (2013) Risk and evidence of bias in randomized controlled trials in economics. CEP Discussion Papers (CEPDP1240). London School of Economics and Political Science. Centre for Economic Performance, London, UK.

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Abstract

The randomized controlled trial (RCT) has been a heavily utilized research tool in medicine for over 60 years. Since the early 2000?s, large-scale RCTs have been used in increasingly large numbers in the social sciences to evaluate questions of both policy and theory. The early economics literature on RCTs invokes the medical literature, but seems to ignore a large body of this literature which studies the past mistakes of medical trialists and links poor trial design, conduct and reporting to exaggerated estimates of treatment effects. Using a few consensus documents on these issues from the medical literature, we design a tool to evaluate adequacy of reporting and risk of bias in RCT reports. We then use this tool to evaluate 54 reports of RCTs published in a set of 52 major economics journals between 2001 and 2011 alongside a sample of reports of 54 RCTs published in medical journals over the same time period. We find that economics RCTs fall far short of the recommendations for reporting and conduct put forth in the medical literature, while medical trials stick fairly close to them, suggesting risk of exaggerated treatment effects in the economics literature.

Item Type:	Monograph (Discussion Paper)
Official URL:	https://cep.lse.ac.uk/_new/publications/discussion...
Additional Information:	© 2013 The Author(s)
Divisions:	Centre for Economic Performance
Subjects:	H Social Sciences > HC Economic History and Conditions
JEL classification:	C - Mathematical and Quantitative Methods > C9 - Design of Experiments C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C90 - General C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C93 - Field Experiments C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C10 - General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C12 - Hypothesis Testing
Date Deposited:	22 Feb 2024 10:24
Last Modified:	14 Sep 2024 04:45
URI:	http://eprints.lse.ac.uk/id/eprint/121784

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