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Journal Article
Demography (2008) 45 (2): 271–281.
Published: 01 May 2008
...Yong Cai Abstract The fertility level in China is a matter of uncertainty and controversy. This paper applies Preston and Coale’s (1982) variable-r method to assess the fertility level in China. By using data from China’s 1990 and 2000 censuses as well as annual population change surveys...
Journal Article
Demography (1969) 6 (1): 45–54.
Published: 01 February 1969
... relation for Catholics. Likewise, a negative differential for American couples with farm background has been observed in contrast to no differential for twogeneration urbanites. Age at marriage is a third such interaction variable: the strong negative socio-economic differential observed when wife’s age...
Journal Article
Demography (1974) 11 (2): 173–188.
Published: 01 May 1974
... variable between individual and residence variables and mobility. The model is tested with data from a panel study of Rhode Island residents. The results indicate that residential satisfaction at the first interview is related to the wish to move and to mobility in the year following the interview...
Journal Article
Demography (2022) 59 (3): 975–994.
Published: 01 June 2022
... is associated with late-life cognition, but whether the relationship is causal remains unclear. We use an instrumental variable approach and data from the Survey of Health, Ageing, and Retirement in Europe to examine whether having three or more versus two children affects late-life cognition. Parents often...
Includes: Supplementary data
Journal Article
Demography (2014) 51 (6): 2025–2045.
Published: 13 November 2014
...Glenn Firebaugh; Francesco Acciai; Aggie J. Noah; Christopher Prather; Claudia Nau Abstract Lifespans are both shorter and more variable for blacks than for whites in the United States. Because their lifespans are more variable, there is greater inequality in length of life—and thus greater...
FIGURES | View All (8)
Includes: Supplementary data
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Published: 01 February 2022
Fig. 1 Variable importance (VIMP) measures for all 35 independent variables included as predictors in the Random Survival Forests More
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Published: 01 December 2023
Fig. 1 The independent variable categorizing child death to assess alternative pathways between childhood mortality and fertility behavior. Mortality = categorical variable (ref. interval not exposed to mortality). Mortality 1 = the death of any previously born child prior to the birth More
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Published: 31 December 2014
Fig. 3 IE estimates with dummy variable coding and first categories omitted and IE estimates, with lowest and highest slopes of age, period, and cohort (Berkeley Human Mortality Database). The solid line represents the (first) categories (1, 1, and 1) omitted. The dashed line indicates More
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Published: 08 February 2011
Fig. 1 Distribution of the son-preference variable, SP = ideal{(boys−girls)/total} More
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Published: 20 April 2011
Fig. 1 Population health latent variable measurement models. a Unidimensional measurement model, b Second-order measurement model, c Multimethod-bifactor health measurement model More
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Published: 21 March 2019
Fig. 3 Density of the assignment variable. More
Journal Article
Demography (1999) 36 (4): 475–495.
Published: 01 November 1999
...John R. Wilmoth; Shiro Horiuchi Abstract Rectangularization of human survival curves is associated with decreasing variability in the distribution of ages at death. This variability, as measured by the interquartile range of life table ages at death, has decreased from about 65 years to 15 years...
Journal Article
Demography (1995) 32 (1): 111–131.
Published: 01 February 1995
...Kenneth A. Bollen; David K. Guilkey; Thomas A. Mroz Abstract Many demographic studies examine discrete outcomes, and researchers often suspect that some of the explanatory variables may be influenced by the same unobserved factors that determine the discrete outcome under examination. In linear...
Journal Article
Demography (1993) 30 (3): 489–506.
Published: 01 August 1993
... the determinants of race differences in the two main components of LBW—preterm birth (PRETERM) and intrauterine growth retardation (IUGR)—within a partially causal framework that includes social and proximate explanatory variables. The data come from the 1988 National Survey of Family Growth. This study asks...
Journal Article
Demography (1986) 23 (2): 143–160.
Published: 01 May 1986
..., is not explained by changes in the variables considered here, or in their relationships with infant mortality. 9 1 2011 © Population Association of America 1986 1986 Ordinary Little Square Infant Mortality Child Mortality Birth Order Dengue Hemorrhagic Fever References N. L. Abu...
Journal Article
Demography (1981) 18 (4): 487–509.
Published: 01 November 1981
...N. B. Ryder Abstract Temporal variations in conventional fertility measures reflect the operation of instrumental variables: quantitative and temporal intentions; success in achieving intentions; and reproductive conditions. A set of such variables is described, using data from the 1975 National...
Journal Article
Demography (1981) 18 (3): 355–368.
Published: 01 August 1981
... is due almost completely to the effects of family life cycle and work career variables. Further, we find that job- or locationspecific resources, prestige and wage deter migration. 30 12 2010 © Population Association of America 1981 1981 Family Size American Sociological Review Career...
Journal Article
Demography (1982) 19 (2): 241–260.
Published: 01 May 1982
... variables on educational differentials in childspacing. For birth intervals initiated in a recent period before a sample survey, second, third and higher-order intervals are examined. Transitions within successive segments of interval exposure ( q x values) are examined rather than cumulative transitions (1...
Journal Article
Demography (1977) 14 (4): 571–580.
Published: 01 November 1977
... as simple random samples of women. The assumption of simple random selection, together with the treatment of sample subgroup size and reverse-survival ratios as constants instead of random variables, imply that sampling variability is slightly underestimated. The methodology is applied illustratively...
Journal Article
Demography (2005) 42 (4): 719–735.
Published: 01 November 2005
... AS A PROXY FOR OMITTED VARIABLES IN THE OBESITY-MORTALITY RELATIONSHIP* J. TIMOTHY GRONNIGER In a conventional survival analysis of a sample of the U.S. population in 1971 1974, the as- sociation between mortality and obesity is compared with the analogous risk from the presence of an obese person...