เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Arriaga Decomposition× | Das Gupta Decomposition× | |
|---|---|---|
| สาขาวิชา | ประชากรศาสตร์ | ประชากรศาสตร์ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1984 | 1993 |
| ผู้ริเริ่ม≠ | Eduardo E. Arriaga | Prithwis Das Gupta |
| ประเภท≠ | Age-specific decomposition of a difference in life expectancy | Multi-factor, multi-population decomposition of a difference between rates |
| แหล่งต้นตำรับ≠ | Arriaga, E. E. (1984). Measuring and explaining the change in life expectancies. Demography, 21(1), 83–96. DOI ↗ | Das Gupta, P. (1993). Standardization and Decomposition of Rates: A User's Manual. U.S. Bureau of the Census, Current Population Reports P23-186. link ↗ |
| ชื่อเรียกอื่น | Arriaga's method, Life-expectancy decomposition, Age decomposition of life expectancy, Arriaga Ayrıştırması | Das Gupta's method, Multi-factor rate decomposition, Standardization and decomposition of rates, Das Gupta Ayrıştırması |
| ที่เกี่ยวข้อง | 4 | 4 |
| สรุป≠ | Arriaga decomposition is a demographic technique that breaks down the difference in life expectancy between two life tables — two countries, two time points, or two groups — into the contributions of mortality change at each age. Introduced by Eduardo Arriaga in 1984, it tells the analyst not just that life expectancy rose or fell, but exactly which ages drove the change, separating the direct effect of mortality change within an age interval from the indirect effect of the extra survivors that change passes on to older ages. | Das Gupta decomposition is the general framework for standardizing and decomposing a difference between summary rates when several factors act at once and more than two populations must be compared. Developed by Prithwis Das Gupta and codified in his 1993 U.S. Census Bureau manual, it generalizes Kitagawa's two-population, single-factor decomposition to any number of multiplicatively or additively combined factors and any number of populations, producing factor effects that are exactly additive, symmetric, and internally consistent across every pairwise comparison. |
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