Publications by authors named "Minja Kim Choe"

Beginning in 2000, in economically advanced countries, a remarkable bifurcation in fertility levels has emerged, with one group in the moderate range of period total fertility rates (TFR), about 1.9, and the other at 1.3.

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The paper examines changes in the relationship between employment and household tasks of Japanese couples, using data drawn from national cross-sectional surveys in 1994, 2000 and 2009 of persons aged 20-49 and from the 2009 follow-up of the 2000 survey. Wives' employment is structured by their husbands' employment time and earning power, as well as by their family situations including the presence and age of children and coresidence with parents. Housework hours of husbands, though very low, increased over time, while wives' hours decreased.

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Using discrete-time survival models of parity progression and illustrative data from the Philippines, this article develops a multivariate multidimensional life table of nuptiality and fertility, the dimensions of which are age, parity, and duration in parity. The measures calculated from this life table include total fertility rate (TFR), [corrected] total marital fertility rate (TMFR), parity progression ratios (PPR), age-specific fertility rates, mean and median ages at first marriage, mean and median closed birth intervals, and mean and median ages at childbearing by child's birth order and for all birth orders combined. These measures are referred to collectively as "TFR and its components.

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Substantial family and work macro-level change has been occurring in Japan. Examples include a decline in the availability of jobs that afford lifetime protection against unemployment, an increase in jobs that do not carry benefits such as a pension, an increase in age at marriage and at first birth, and an increase in marital dissolution. Using life history data from the 2000 National Survey on Family and Economic Conditions, young Japanese appear to have responded to these macro-level changes in a fairly orderly manner.

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An analysis of data mainly from China's 1990 and 2000 censuses and 2005 mini-census shows how fertility decline between 1975 and 2005 in the province of Guangdong has been influenced by both fertility policy and economic and social development. Guangdong's development since 1975 has been very rapid and has attracted huge numbers of migrants from other provinces. The analysis of the province's fertility trend from 1975 shows clearly the influence of fertility policy on the trend.

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Objective: To assess the effect of Nepal's vitamin A supplementation programme on child mortality at age 12-59 months.

Materials And Methods: Logistic regression, applied to retrospective data from Nepal's 2001 Demographic and Health Survey.

Results: After a number of potentially confounding variables are controlled, the effect of 100% community-level vitamin A coverage since the child's birth, relative to no coverage, is to reduce the odds of dying at age 12-59 months by slightly more than half (OR = 0.

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This article examines the contextual effects of community environment on individual stigmatizing attitudes toward people with HIV/AIDS in China. Multilevel logistic regression models are used to analyze data on 5,658 respondents aged 15-49 from 66 communities in the Baseline Information, Education, and Communication Survey for HIV/AIDS Prevention in China, conducted by the State Family Planning Commission in 2000. The results show that a high level of HIV/AIDS-related risk behavior in the community and a low level of community development are associated with increased HIV/AIDS-related stigma, after controlling for respondents' sociodemographic characteristics, including extent of knowledge about HIV/AIDS.

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This paper examines age patterns of first marriage and motherhood and covariates of early marriage, delayed consummation of marriage and early motherhood in Nepal using data from the 2000 Nepal Adolescent and Young Adult Survey (NAYA). Both unmarried and married male and female youths (age 14-22) were included in the survey. The analysis is based on 2800 urban youths and 5075 rural youths with complete information on the variables examined.

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