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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115603


    Title: Detecting the Issues of Population Aging by Using ARIMA Model
    Authors: Chang, Dian-Fu;Lin, Yi Hsing;Nyeu, Fong-Yee
    Keywords: Aging index;ARIMA;Population aging;Potential support ratio;Time series analysis
    Date: 2019-01
    Issue Date: 2018-11-22 12:10:18 (UTC+8)
    Publisher: ICIC International
    Abstract: Population aging is poised to become one of the most significant social transformations of the twenty-first century. Perceived the rapidly increasing population aging, this study selected Taiwan as a target to tackle the issue. Previous studies have warned the drawbacks of composite indicators dealing with aging issues, therefore this study tries to find an alternative way to fit series data in an aging society. To achieve the specific purposes, the study aims to create appropriate indices to further interpret the issues of population aging. The time series analysis was carried out in this study by using the Minitab® statistical package. The result of the ARIMA model reveals the increasing of over 65 year-old adults in Taiwan will up to a new high in next decade. While the potential support ratio will decline speedily. Realized the gap, the suggestions provide for the policy makers to deal with the issues more effectively.
    Relation: ICIC Express Letters Part B: Applications 10(1), p. 39-46
    Appears in Collections:[教育政策與領導研究所] 期刊論文

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