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The role of heterogeneous parameters for the detection of selection in insurance contracts

Karlsson, Martin LU ; Klohn, Florian and Rickayzen, Ben (2018) In Insurance: Mathematics and Economics 83. p.110-121
Abstract

This study re-examines standard econometric approaches for detecting adverse and advantageous selection in insurance contracts based on variables that are not used for calculating the insurance premium. We formally demonstrate that existing strategies for detecting selection based on such ‘unused characteristics’ can lead to incorrect conclusions if the estimated coefficients of interest are driven by different parts of the population. We show that this issue can empirically be accounted for by allowing for heterogeneous parameters. We compare existing approaches by using simulated data with different selection regimes and test for parameter heterogeneity within the data. We further provide empirical evidence about selection into the... (More)

This study re-examines standard econometric approaches for detecting adverse and advantageous selection in insurance contracts based on variables that are not used for calculating the insurance premium. We formally demonstrate that existing strategies for detecting selection based on such ‘unused characteristics’ can lead to incorrect conclusions if the estimated coefficients of interest are driven by different parts of the population. We show that this issue can empirically be accounted for by allowing for heterogeneous parameters. We compare existing approaches by using simulated data with different selection regimes and test for parameter heterogeneity within the data. We further provide empirical evidence about selection into the market for private health insurance in England. Both our simulations, and the findings using real data, suggest that parameter heterogeneity is a relevant issue that can confound the interpretation of standard ‘unused characteristics’ approaches. Our findings are important for analysing the efficiency of insurance markets. They are of interest to both the insurance industry and policymakers, and should be accounted for when selection based on specific characteristics needs to be detected or the effects of structural changes of insurance policies/markets are to be predicted.

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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Applied econometrics, Asymmetric information, Insurance markets, Parameter heterogeneity, Selection
in
Insurance: Mathematics and Economics
volume
83
pages
12 pages
publisher
Elsevier
external identifiers
  • scopus:85054861565
ISSN
0167-6687
DOI
10.1016/j.insmatheco.2018.08.002
language
English
LU publication?
yes
id
3d191d27-8913-4f0a-a4cd-9e8fbf3074a7
date added to LUP
2018-10-30 10:37:58
date last changed
2022-01-31 06:35:31
@article{3d191d27-8913-4f0a-a4cd-9e8fbf3074a7,
  abstract     = {{<p>This study re-examines standard econometric approaches for detecting adverse and advantageous selection in insurance contracts based on variables that are not used for calculating the insurance premium. We formally demonstrate that existing strategies for detecting selection based on such ‘unused characteristics’ can lead to incorrect conclusions if the estimated coefficients of interest are driven by different parts of the population. We show that this issue can empirically be accounted for by allowing for heterogeneous parameters. We compare existing approaches by using simulated data with different selection regimes and test for parameter heterogeneity within the data. We further provide empirical evidence about selection into the market for private health insurance in England. Both our simulations, and the findings using real data, suggest that parameter heterogeneity is a relevant issue that can confound the interpretation of standard ‘unused characteristics’ approaches. Our findings are important for analysing the efficiency of insurance markets. They are of interest to both the insurance industry and policymakers, and should be accounted for when selection based on specific characteristics needs to be detected or the effects of structural changes of insurance policies/markets are to be predicted.</p>}},
  author       = {{Karlsson, Martin and Klohn, Florian and Rickayzen, Ben}},
  issn         = {{0167-6687}},
  keywords     = {{Applied econometrics; Asymmetric information; Insurance markets; Parameter heterogeneity; Selection}},
  language     = {{eng}},
  month        = {{11}},
  pages        = {{110--121}},
  publisher    = {{Elsevier}},
  series       = {{Insurance: Mathematics and Economics}},
  title        = {{The role of heterogeneous parameters for the detection of selection in insurance contracts}},
  url          = {{http://dx.doi.org/10.1016/j.insmatheco.2018.08.002}},
  doi          = {{10.1016/j.insmatheco.2018.08.002}},
  volume       = {{83}},
  year         = {{2018}},
}