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Original Articles

Taking intervention costs seriously: a new, old toolbox for inference about costs

Pages 273-287
Received 13 Dec 2018
Accepted 21 Oct 2019
Published online: 05 Nov 2019
 

ABSTRACT

This paper examines a new set of average cost data from a large international NGO, finding that costs for the same intervention can vary as much as twenty times when scale or context is changed. Despite this challenge to the generalisability of cost estimates, a high proportion of the variation can be explained by observable program and contextual characteristics. Binary questions about whether cost estimates are externally valid do not provide a useful framework for wider inference; instead, researchers can gain analytical traction if they study what factors cause the costs of specific interventions to change, and by how much.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Notes on contributors

Caitlin Tulloch

Caitlin Tulloch leads the Best Use of Resources unit at the International Rescue Committee, a team dedicated to cost-efficiency and cost-effectiveness analysis of humanitarian programs. She is the co-author of several papers on cost analysis methodology and the use of economic evaluation in decision-making, and has advised governments, foundations, and UN agencies on costing methods.
 

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