Determinants of Quality of Life for People with Disabilities Using Panel Data Analysis
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| Title: | Determinants of Quality of Life for People with Disabilities Using Panel Data Analysis |
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| Language: | English |
| Authors: | Hyejin Yoon, Jimin Shim, Won Seok Lee, Joonho Moon |
| Source: | International Journal of Disability, Development and Education. 2026 73(1):196-210. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Quality of Life, Disabilities, Data Analysis, Social Experience, Participation, Foreign Countries, Cultural Activities, Travel, Employment, Stress Variables, Barriers, Leisure Time |
| Geographic Terms: | South Korea |
| DOI: | 10.1080/1034912X.2024.2361271 |
| ISSN: | 1034-912X 1465-346X |
| Abstract: | This research aims to examine the determinants of the quality of life for people with disabilities using panel data. Through a review of the extant literature, this research proposes five attributes to account for differences in the quality of life for people with disabilities: social participation, cultural activity participation, travel, employment, and stress. For the data collection, this study employed the Panel Survey of Employment for people with disabilities data from 2016 to 2018, which is published by the Korea employment agency. In total, there are 11,467 valid observations available. This study implemented descriptive statistics, correlation matrix, and econometric analysis for the archival data analysis. The results indicate that the quality of life of a person with a disability is enhanced by participation in social, cultural activities, travel, and employment; meanwhile, the quality of life for people with disabilities is negatively influenced by stress. This study presents relevant implications given the results of the data analysis. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1504263 |
| Database: | ERIC |
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