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Published: 01 October 2022
Fig. 2 Mean logit mortality schedule and first two principal components More
Journal Article
Demography (1969) 6 (3): 287–299.
Published: 01 August 1969
... multipliers, k being the number of schedules in the fertility sequence, and the survival rates in the mortality schedule. A numerical illustration of the theory is given using fertility data from Finland. DEMOGRAPHY Volume 6, Number 3 August 1969 ON THE DEPENDENCE OF AGE STRUCTURE ON A SEQUENCE OF MORTALITY...
Journal Article
Demography (2019) 56 (3): 1131–1159.
Published: 28 May 2019
...–based mortality modeling framework that satisfies all of those requirements. The SVD-component framework provides a general, flexible way to model any demographic age schedule as a function of covariates or predictors that are related to age-specific variation in the age schedule. Here, the SVD...
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Includes: Supplementary data
Journal Article
Demography (1989) 26 (4): 645–660.
Published: 01 November 1989
... to gauge without numerical calculation, but old-age mortality in 1985 fell to considerably lower levels over mortality at the beginning of this century. Univariate ARIMA Models of the Heligman-Pollard Parameters Plots of the model schedule parameters for the entire 1900-1985 period show a sharp change...
Journal Article
Demography (2018) 55 (4): 1363–1388.
Published: 05 July 2018
... 2016 ). In a TOPALS model, the log mortality schedule is a sum of two functions: (1) a constant schedule (called the standard ) that incorporates basic age patterns, and (2) a parametric, piecewise-linear function made up of straight-line segments between designated ages (these ages are called knots...
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Journal Article
Demography (1973) 10 (3): 383–403.
Published: 01 August 1973
... was incomplete. Mortality rates were estimated using a simulation program in which mortality was the only stochastic variable. A model mortality schedule was chosen which most accurately reproduced the growth pattern of the population over the 50-year period. To estimate fertility rates, a more complex...
Journal Article
Demography (2022) 59 (1): 321–347.
Published: 01 February 2022
... in predicting a full mortality schedule between ages 0 and 5 on the basis of only one or two parameters. With its larger number of age-groups, the proposed model offers greater flexibility than existing models in terms of both entry parameters and model outcomes. We present applications of this model...
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Includes: Supplementary data
Journal Article
Demography (2013) 50 (5): 1615–1640.
Published: 17 September 2013
...Alyson A. van Raalte; Hal Caswell Abstract A number of indices exist to calculate lifespan variation, each with different underlying properties. Here, we present new formulae for the response of seven of these indices to changes in the underlying mortality schedule (life disparity, Gini coefficient...
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Includes: Supplementary data
Journal Article
Demography (1973) 10 (4): 537–542.
Published: 01 November 1973
... Population Constant Fertility Negative Exponential Fertility Schedule Mortality Schedule References Coale, Ansley J. 1959. Increases in Expectation of Life and Population Growth. In the Proceedings of the International Union for the Scientific Study of Population, Vienna, 1959. Lotka...
Journal Article
Demography (2022) 59 (5): 1713–1737.
Published: 01 October 2022
...Fig. 2 Mean logit mortality schedule and first two principal components ...
FIGURES | View all 6
First thumbnail for: A Bayesian Cohort Component Projection Model to Es...
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Third thumbnail for: A Bayesian Cohort Component Projection Model to Es...
Includes: Supplementary data
Journal Article
Demography (1982) 19 (1): 125–133.
Published: 01 February 1982
... fertility and mortality schedules) lead to a stationary population. Neither the level of the net reproduction rate nor the size of the annual immigration affects this conclusion; a stationary population eventually emerges. How this stationary population is created is studied, as is the generational...
Image
Published: 28 May 2019
Fig. 3 Single-year age group SVD-Comp prediction errors for in-sample and out-of-sample mortality schedules for fifty 50 % samples. Errors are summarized over all in-sample and out-of-sample mortality schedules for the 50 samples. Whiskers extend to 10 % and 90 % quantiles. More
Journal Article
Demography (1984) 21 (1): 53–69.
Published: 01 February 1984
...Gretchen A. Condran Abstract The schedule of mortality by age for Philadelphia’s 1880 population classified by sex and race showed aberrations from Coale and Demeny West, South, and North model life tables. Deviations from standard age patterns of mortality were especially pronounced for the black...
Image
Published: 05 July 2018
Fig. 2 TOPALS model for males in Amapá state, 2010. Open circles are observed ln( R x / N x ) from registered deaths. Smooth dark line is national standard log mortality schedule. Heights of solid dots are maximum likelihood offsets α 0 . . . α 6 . Fitted TOPALS schedule is the sum More
Journal Article
Demography (1970) 7 (3): 341–348.
Published: 01 August 1970
.... These fluctuations would become less marked with time, however, and eventually all the proportions would stabilize at certain fixed values. This collection of values may be called a stable age by region composition corresponding to the given schedule of fertility, mortality and migration. The same phenomenon may...
Image
Published: 10 October 2017
Fig. 1 Example data and principal components of (logged) U.S. state mortality schedules: Males, 1980–2010 More
Journal Article
Demography (1986) 23 (2): 247–259.
Published: 01 May 1986
... 1986 1986 Eligible Population Nontrivial Equilibrium Mortality Schedule Mating Rule Marriage Model References Arthur W. B. ( 1981 ). Why a population converges to stability . American Mathematical Monthly , 88 , 557 – 563 . 10.2307/2320504 Arthur W. B. ( 1981...
Journal Article
Demography (1991) 28 (4): 619–637.
Published: 01 November 1991
... Unobserved Heterogeneity Individual Frailty Mortality Schedule Secular Decline Cohort Mortality References Behrman , Jere R. , Sickles , Robin , &amp; Taubman , Paul ( 1990 ). Age Specific Death Rates with Covariates: Sensitivity to Sample Length and Unobserved Frailty...
Journal Article
Demography (2023) 60 (1): 303–325.
Published: 01 February 2023
... a mortality schedule shape derived from the combination of the national mortality schedule and the mortality schedules of districts in the same federal state. This shape is implemented as three priors: a hierarchical spatial prior, a normal prior distribution for the differences between TOPALS coefficients...
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Includes: Supplementary data
Image
Published: 28 May 2019
Fig. 4 Median prediction error by sample fraction, with 50 samples for each sample fraction. For each sample, the median is calculated across all ages and all mortality schedules in each sample category (in-sample and out-of-sample). Whiskers extend to 10 % and 90 % quantiles. More