Literature DB >> 29430486

DO YOU HAVE TO WIN IT TO FIX IT? A Longitudinal Study of Lottery Winners and Their Health-Care Demand.

Terence C Cheng1, Joan Costa-I-Font2, Nattavudh Powdthavee2,3.   

Abstract

We exploit lottery wins to investigate the effects of exogenous changes to individuals' income on the utilization of health care services, and the choice between private and public health care in the United Kingdom. Our empirical strategy focuses on lottery winners in an individual fixed effects framework and hence the variation of winnings arises from within-individual differences in small versus large winnings. The results indicate that lottery winners with larger wins are more likely to choose private health services than public health services from the National Health Service. The positive effect of wins on the choice of private care is driven largely by winners with medium to large winnings (win category > £500 (or US$750); mean = £1922.5 (US$2,893.5), median = £1058.2 (US$1592.7)). There is some evidence that the effect of winnings vary by whether individuals have private health insurance. We also find weak evidence that large winners are more likely to take up private medical insurance. Large winners are also more likely to drop private insurance coverage between approximately 9 and 10 months earlier than smaller winners, possibly after their winnings have been exhausted. Our estimates for the lottery income elasticities for public health care (relative to no care) are very small and are not statistically distinguishable from zero; those of private health care range from 0 - 0.26 for most of the health services considered, and 0.82 for cervical smear.

Entities:  

Keywords:  Health care; Income elasticity; Lottery wins; Public-private

Year:  2018        PMID: 29430486      PMCID: PMC5802355          DOI: 10.1162/ajhe_a_00092

Source DB:  PubMed          Journal:  Am J Health Econ        ISSN: 2332-3493


  10 in total

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6.  Winning big but feeling no better? The effect of lottery prizes on physical and mental health.

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9.  Understanding differences in health behaviors by education.

Authors:  David M Cutler; Adriana Lleras-Muney
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10.  Estimating demand for care after a medicaid expansion: lessons from Oregon.

Authors:  Rachel Gold; Steffani R Bailey; Jean P OʼMalley; Megan J Hoopes; Stuart Cowburn; Miguel Marino; John Heintzman; Christine Nelson; Stephen P Fortmann; Jennifer E DeVoe
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  10 in total

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