↓ Skip to main content

A voluntary deductible in health insurance: the more years you opt for it, the lower your premium?

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, February 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 Mendeley
Title
A voluntary deductible in health insurance: the more years you opt for it, the lower your premium?
Published in
HEPAC Health Economics in Prevention and Care, February 2016
DOI 10.1007/s10198-016-0767-4
Pubmed ID
Authors

K. P. M. van Winssen, R. C. van Kleef, W. P. M. M. van de Ven

Abstract

Adverse selection regarding a voluntary deductible (VD) in health insurance implies that insured only opt for a VD if they expect no (or few) healthcare expenses. This paper investigates two potential strategies to reduce adverse selection: (1) differentiating the premium to the duration of the contract for which the VD holds (ex-ante approach) and (2) differentiating the premium to the number of years for which insured have opted for a VD (ex-post approach). It can be hypothesized that premiums will decrease with the duration of the contract or the number of years for which insured have opted for a VD, providing an incentive to insured to opt for a deductible also in (incidental) years they expect relatively high expenses. To test this hypothesis, we examine which premium patterns would occur under these strategies using data on healthcare expenses and risk characteristics of over 750,000 insured from 6 years. Our results show that, under the assumptions made, only without risk equalization the premiums could decrease with the duration of the contract or the number of years for which insured have opted for a VD. With (sophisticated) risk equalization, decreasing premiums seem unfeasible, both under the ex-ante and ex-post approach. Given these findings, we are sceptical about the feasibility of these strategies to counteract adverse selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 25%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Librarian 1 6%
Student > Ph. D. Student 1 6%
Other 3 19%
Unknown 5 31%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 19%
Nursing and Health Professions 2 13%
Social Sciences 2 13%
Agricultural and Biological Sciences 2 13%
Mathematics 1 6%
Other 2 13%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2023.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#491
of 1,303 outputs
Outputs of similar age
#112,929
of 409,550 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#11
of 26 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 409,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.