A Predictive Model for the Work Needs of the Elderly in Thailand in 2021
Keywords:
Elderly, Work needs, Logistic regression analysisAbstract
The purpose of this research is to identify the factors associated with the work needs of the elderly and to develop a predictive model for the work needs of the elderly. The sample data included in the study is data on Thai elderly aged 55 years and older, totaling 11,988 people, covering five regions (1. Bangkok, 2. Central-East-West Region, 3. Northeastern Region, 4. Northern Region, 5. Southern Region) from the 2021 according to the National Statistical Office's 2021 Elderly Population Survey Project in Thailand. Statistical analyses used include the Chi-squared test and logistic regression analysis. The research findings indicate that 5,232 elderly people (43.6%) expressed a desire for employment. Pre-retirement elderly individuals have a significantly higher desire for employment (73.5%) compared to post-retirement elderly individuals (32.7%). Factors significantly associated with the work needs of the elderly include region, province, residential area, household size, household living status, gender, age, marital status, number of children, homeownership, highest level of education completed, literacy, occupation during the past 12 months, main source of income, average annual income from all sources, income adequacy, savings, debt status, physical health over the past 7 days, and economic diversity. The predictive model for the work needs of the elderly, with an accuracy of 92.3%, is as follows:
P (Work needs of the elderly) =1/(1+exp(z)) When z = - 4.808 + 6.587 (occupation during the last 12 months).
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