Analysis of Factors Affecting Employment of the Aged with Disabilities Using Company Data

The purpose of this study is to analyze factors affecting the employment of the aged with disabilities. This study is differentiated in that it used company-level data, unlike previous studies that used individual-level data. A linear regression analysis method was used using survey data on the status of the disabled in companies generated by KEAD.. As a result of regression analysis, it was found that the statistical effects of the explanatory variables input into the regression model differed by age group. For 34 under age group, employment rate of people with developmental disabilities was high. For 34-45 age group, the wage variable was positive for employment. For the 55 and older group, employer support showed contributed to employment. Statistically significant variables for employment of the aged disabled include that industry, region, organizational type, company age, number of full-time workers, number of workers with disabilities, ratio of the severely disabled, ratio of types of disability, ratio of occupations, recruitment considerations, working conditions, welfare benefits, business owner support services. As policy implications according to the analysis results, differentiated employment strategies by age group, strengthening the provision of employment services for employers and the elderly with disabilities, easing the age conditions for hiring, reducing the economic burden of employment, and expanding the internship system for the elderly were presented.