Applying copula to model healthcare demand and health insurance
While Adverse Selection (AS) and Moral Hazard (MH) have been in the literature for over half a century, little evidence examines under what conditions AS and MH exist. This paper used copula regression, obtaining the link between the presence of insurance coverage and healthcare expenditure simultan...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166499 |
| _version_ | 1826120262791200768 |
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| author | Lau, De Xing |
| author2 | Akshar Saxena |
| author_facet | Akshar Saxena Lau, De Xing |
| author_sort | Lau, De Xing |
| collection | NTU |
| description | While Adverse Selection (AS) and Moral Hazard (MH) have been in the literature for over half a century, little evidence examines under what conditions AS and MH exist. This paper used copula regression, obtaining the link between the presence of insurance coverage and healthcare expenditure simultaneously, thus simultaneously determining the cases in which AS and MH exist. The data included three types of insurance, four types of expenditures, and three types of chronic conditions. Evidence suggested that employer-provided insurance and voluntary insurance showed little AS with prevalent MH, and state-subsidized insurance showed a prevalence of both AS and MH. With these findings, insurance policies can modify their policies based on the type of insurance provided, to better fit their targeted demographic. |
| first_indexed | 2024-10-01T05:13:38Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/166499 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:13:38Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1664992023-05-08T15:38:54Z Applying copula to model healthcare demand and health insurance Lau, De Xing Akshar Saxena Yan Zhenzhen School of Physical and Mathematical Sciences yanzz@ntu.edu.sg, aksharsaxena@ntu.edu.sg Science::Mathematics Social sciences::Economic theory While Adverse Selection (AS) and Moral Hazard (MH) have been in the literature for over half a century, little evidence examines under what conditions AS and MH exist. This paper used copula regression, obtaining the link between the presence of insurance coverage and healthcare expenditure simultaneously, thus simultaneously determining the cases in which AS and MH exist. The data included three types of insurance, four types of expenditures, and three types of chronic conditions. Evidence suggested that employer-provided insurance and voluntary insurance showed little AS with prevalent MH, and state-subsidized insurance showed a prevalence of both AS and MH. With these findings, insurance policies can modify their policies based on the type of insurance provided, to better fit their targeted demographic. Bachelor of Science in Mathematical Sciences and Economics 2023-05-02T04:25:03Z 2023-05-02T04:25:03Z 2023 Final Year Project (FYP) Lau, D. X. (2023). Applying copula to model healthcare demand and health insurance. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166499 https://hdl.handle.net/10356/166499 en application/pdf Nanyang Technological University |
| spellingShingle | Science::Mathematics Social sciences::Economic theory Lau, De Xing Applying copula to model healthcare demand and health insurance |
| title | Applying copula to model healthcare demand and health insurance |
| title_full | Applying copula to model healthcare demand and health insurance |
| title_fullStr | Applying copula to model healthcare demand and health insurance |
| title_full_unstemmed | Applying copula to model healthcare demand and health insurance |
| title_short | Applying copula to model healthcare demand and health insurance |
| title_sort | applying copula to model healthcare demand and health insurance |
| topic | Science::Mathematics Social sciences::Economic theory |
| url | https://hdl.handle.net/10356/166499 |
| work_keys_str_mv | AT laudexing applyingcopulatomodelhealthcaredemandandhealthinsurance |