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  5. Correcting for Transitory Effects in RCTs: Application to the RAND Health Insurance Experiment
 
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Correcting for Transitory Effects in RCTs: Application to the RAND Health Insurance Experiment

Author(s)
Devereux, Kevin  
Balesh Abadi, Mona  
Omran, Farah  
Uri
http://hdl.handle.net/10197/10635
Date Issued
2019-04
Date Available
2019-05-23T09:52:17Z
Abstract
The long run price elasticity of healthcare spending is critically important to estimating the cost of provision. However, temporary randomized controlled trials may be confounded by transitory effects. This paper shows evidence of a 'deadline effect' – a spike in spending in the final year of the program – among participants of the RAND Health Insurance Experiment, long considered the definitive RCT in the field. The deadline effect is economically and statistically significant, with power to identify coming from random allocation to three- or five-year enrolment terms. The deadline effect interacts with the price elasticity: participants who face lower coinsurance rates show larger spending spikes. Crucially, controlling for the price-deadline interaction yields significantly smaller estimates of the price elasticity in non-deadline years, which we argue is a better approximation for the long run elasticity. This has important implications for public finance and the design of private/temporary subsidy programs.
Type of Material
Working Paper
Publisher
University College Dublin. School of Economics
Series
UCD Centre for Economic Research Working Paper Series
WP19/10
Copyright (Published Version)
2019 the Authors
Subjects

Health insurance

Moral hazard

Public health

RCTs

Classification
C93
D91
H31
H42
H51
I12
I13
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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WP2019_10.pdf

Size

1.17 MB

Format

Adobe PDF

Checksum (MD5)

6c153c144276e0c08bb4b68ce8f93c71

Owning collection
Economics Working Papers & Policy Papers

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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