1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 Oldest-Old Mortality Rates and the Gompertz`s Law: A Theoretical and Empirical Study Based on Four Countries
作者 余清祥
貢獻者 統計系
關鍵詞 Gompertz’s Law; Mortality Rates of the Elderly; Mortality Projection; Bootstrap;Simulation; Maximum Likelihood; Weighted Least Square; Nonlinear Maximization; Graduation
日期 2002
上傳時間 28-Jul-2015 18:15:08 (UTC+8)
摘要 Testing the Gompertz law (i.e. law of geometrical progression) for elderly mortality rates has been discussed in the literature for a long time, but tests based on a set of yearly age-specific data have not been fully explored yet. In the first part of this paper, we propose a standard operating procedure for testing the Gompertz assumption using yearly age-specific mortality data. Methods used in the procedure include estimation of parameters in the Gompertz law and their standard errors via bootstrap simulation. In addition to the oldest-old (i.e. ages 80 and above) data in Japan, Sweden, France, and the U.S. (Data sources: Berkeley Mortality Database and Kannisto, 1994), a simulation study is used to demonstrate the validity of the proposed procedure. However, in practice the period of data collection is often prolonged to 5 or 10 years in order to accumulate sufficient sample sizes. However, a longer data collection period is likely to mix data with different attributes and cause problems in the parameter estimation. Thus, in the second part of this paper, we discuss the impacts of the data collection period and population sizes on the testing results.
關聯 Journal of Population Studies (TSSCI), 24, 33-57.
資料類型 article
dc.contributor 統計系
dc.creator (作者) 余清祥zh_TW
dc.date (日期) 2002
dc.date.accessioned 28-Jul-2015 18:15:08 (UTC+8)-
dc.date.available 28-Jul-2015 18:15:08 (UTC+8)-
dc.date.issued (上傳時間) 28-Jul-2015 18:15:08 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77072-
dc.description.abstract (摘要) Testing the Gompertz law (i.e. law of geometrical progression) for elderly mortality rates has been discussed in the literature for a long time, but tests based on a set of yearly age-specific data have not been fully explored yet. In the first part of this paper, we propose a standard operating procedure for testing the Gompertz assumption using yearly age-specific mortality data. Methods used in the procedure include estimation of parameters in the Gompertz law and their standard errors via bootstrap simulation. In addition to the oldest-old (i.e. ages 80 and above) data in Japan, Sweden, France, and the U.S. (Data sources: Berkeley Mortality Database and Kannisto, 1994), a simulation study is used to demonstrate the validity of the proposed procedure. However, in practice the period of data collection is often prolonged to 5 or 10 years in order to accumulate sufficient sample sizes. However, a longer data collection period is likely to mix data with different attributes and cause problems in the parameter estimation. Thus, in the second part of this paper, we discuss the impacts of the data collection period and population sizes on the testing results.
dc.format.extent 255066 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Population Studies (TSSCI), 24, 33-57.
dc.subject (關鍵詞) Gompertz’s Law; Mortality Rates of the Elderly; Mortality Projection; Bootstrap;Simulation; Maximum Likelihood; Weighted Least Square; Nonlinear Maximization; Graduation
dc.title (題名) Oldest-Old Mortality Rates and the Gompertz`s Law: A Theoretical and Empirical Study Based on Four Countries
dc.type (資料類型) articleen