Galizzi, Matteo M. ORCID: 0000-0002-7757-5625, Harrison, Glenn and Miraldo, Marisa (2017) Experimental methods and behavioural insights in health economics: estimating risk and time preferences in health. In: Baltagi, Badi and Moscone, Francesco, (eds.) Health Econometrics in Contributions to Economic Analysis. Emerald Publishing, Bingley, UK. (Submitted)
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Abstract
The use of behavioral insights and experimental methods has recently gained momentum among health policy-makers. There is a tendency, however, to reduce behavioral insights applications in health to “nudges,” and to reduce experiments in health to “randomized controlled trials” (RCTs). We argue that there is much more to behavioral insights and experimental methods in health economics than just nudges and RCTs. First, there is a broad and rich array of complementary experimental methods spanning the lab to the field, and all of them could prove useful in health economics. Second, there are a host of challenges in health economics, policy, and management where the application of behavioral insights and experimental methods is timely and highly promising. We illustrate this point by describing applications of experimental methods and behavioral insights to one specific topic of fundamental relevance for health research and policy: the experimental elicitation and econometric estimation of risk and time preferences. We start by reviewing the main methods of measuring risk and time preferences in health. We then focus on the “behavioral econometrics” approach to jointly elicit and estimate risk and time preferences, and we illustrate its state-of-the-art applications to health.
Item Type: | Book Section |
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Official URL: | http://www.emeraldgrouppublishing.com/ |
Additional Information: | © 2017 Emerald Publishing |
Divisions: | Social Policy |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
Date Deposited: | 14 Jul 2017 13:57 |
Last Modified: | 11 Dec 2024 17:54 |
URI: | http://eprints.lse.ac.uk/id/eprint/83546 |
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