Determinants of birth-interval length in the Philippines, Malaysia, and Indonesia: a hazard-model Analysis

Martin, Linda G.; Feldman, Robert; Palmore, James A.; Concepcion, Mercedes B.; Bakar, Datin Noor Laily Bt. Dato’ Abu

doi:10.2307/2061175

Cited by 50 publications

(42 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With respect to fertility, however, this probability is lower than one because some couples are sterile and because some couples stop giving birth altogether for other reasons. Therefore, it makes sense to distinguish between the probability on the one hand and the speed of parity progression on the other, even if both components are obviously correlated (Alter & Oris, 2006;Trussell et al, 1985;Van Bavel, 2004b;Yamaguchi & Ferguson, 1995). In the remainder of this article, "birth spacing" refers to the second component of the fertility rate only, which could also be called the "pacing" component.…”

Section: Modeling the Length Of Birth Intervalsmentioning

confidence: 99%

“…This is not a problem when looking at unconditional fertility rates on the population level because, in the end, demographers are interested in the actual combined outcome of both the likelihood and the speed of giving birth. But when we are particularly interested in the speed of parity progression, as we are in an analysis of birth spacing, this does pose a major problem (Trussell et al, 1985). Ideally, we would want to exclude all sterile couples from the analysis, as well as the couples who stopped their fertility careers on purpose.…”

Section: The Conditional Speed Of Parity Progressionmentioning

confidence: 99%

See 1 more Smart Citation

A mixed effects model of birth spacing for pre-transition populations

Bavel

Kok

2010

The History of the Family

View full text Add to dashboard Cite

It has often been argued that there are good theoretical and historical reasons to expect that deliberate birth spacing has played an important role in fertility patterns before the demographic transition. Yet, it has proved difficult to find hard empirical evidence. In this article, we propose a new model of the speed of parity progression that includes both fixed and random effects and that efficiently captures unobserved heterogeneity between couples in fecundability and postpartum amenorrhea. With this model, we demonstrate that pre-transition couples in the Netherlands indeed spaced their births during about the first ten years of marriage. In addition, we have found strong differentials in birth intervals by socio-economic position and religion. Finally, we also show how and why the model can be used with left-censored census data.

show abstract

Section: Modeling the Length Of Birth Intervalsmentioning

confidence: 99%

Section: The Conditional Speed Of Parity Progressionmentioning

confidence: 99%

A mixed effects model of birth spacing for pre-transition populations

Bavel

Kok

2010

The History of the Family

View full text Add to dashboard Cite

show abstract

“…Trussell et al (1985) found women's education to be an insignificant predictor of risk of pregnancy in Malaysia, the Philippines, and Indonesia. In contrast, studies of Nepal (Suwal, 2001), Tamil Nadu, India (Singh, Tripathi, Kalaivani et al, 2012), and Banglandesh (Saha and van Soest, 2013) found women's education was an important factor for extending the birth interval.…”

Section: Factors Affecting Birth Intervalsmentioning

confidence: 98%

“…This argument is supported by Baschieri (2004), who notes that some socioeconomic variables-mainly education, work status, and residence-have direct effects on the second birth interval. Although the differences in birth intervals are explained by differences in fecundity, incidence of abortion, coital frequency, breastfeeding practices, and contraceptive use (Trussell, Martin, Feldman et al, 1985), these may also be influenced by different socioeconomic, demographic, and cultural factors.…”

Section: Factors Affecting Birth Intervalsmentioning

confidence: 99%

Transition in risks of higher order births in Nepal: a life table analysis

Kafle¹

2017

IJPS

View full text Add to dashboard Cite

This paper examines declining fertility in a low development setting. Specifically, this paper analyzes transitions in age at first birth and of the length of birth intervals, the variations of the length of birth intervals by selected socioeconomic and demographic factors, and the determinants of the risk of higher order birth in Nepal by using the DHS data. There is very little change in the age at start of fertility schedule but the proportion of women progressing to the next higher order birth from the second, third and fourth births has declined over time. Increases in the median length of higher order birth intervals and decline in the ultimate proportions of women attaining higher order births drive declines in the pace of childbearing and overall fertility level. Controlling for other factors, higher order births are more likely among women who had given a previous birth before the survey period or women who had a female birth compared to women who did not have such births. Significantly, lower hazard ratio of the second birth is observed among women who are more educated, working in non-agriculture sector, from well-to-do households, with higher age at first birth, and whose first child survived during infancy.

show abstract

“…Most studies worked with data from large-scale surveys, and the use of proportional hazard models as a tool of analysis became almost obligatory. Typical studies published in the 1980s and 1990s would either create a model of both proximate and socio-economic variables, trying to identify the causal mechanisms bringing about the length of birth intervals (for example, Nath et al, 1993;Trussell et al, 1985), or they would pick out one determinant and test its effect on birth intervals ± such as studies by Nõ Â Bhrolcha Âin (1985) or Ram and Rahim (1993) who looked at women's economic activity, or a study by which examined the effect of sex preferences on intervals.…”

Section: Introductionmentioning

confidence: 99%

The determinants of birth intervals: a qualitative approach from Punjab, India

Huber

2002

International Journal of Population Geography

View full text Add to dashboard Cite

The determinants of birth intervals have been a focus of attention because of the strong relationship between birth intervals, mortality and fertility. This paper criticises the conventional hazard model approach to the determinants of birth intervals on the grounds of, ®rst, the widespread assumption that birth intervals are planned and go according to plan, and secondly, a common failure to situate birth intervals within the social structures in which they take place. Indepth interviews with four Punjabi couples about their birth interval related experiences are used to illustrate an alternative approach, which centres on an exploration of the roots of each action in¯uencing birth intervals. This exploration takes into account that not all human actions are planned to maximise the actor's bene®t, but that they can also be normative, habitual, or emotion-driven; and it disentangles the two-way relationship between birth interval related actions and social structures. Birth intervals are thought to be unlikely to develop according to a master plan because of their complexity, which stems from the considerable number of actions and actors involved in creating them.

show abstract

Determinants of birth-interval length in the Philippines, Malaysia, and Indonesia: a hazard-model Analysis

Cited by 50 publications

References 7 publications

A mixed effects model of birth spacing for pre-transition populations

A mixed effects model of birth spacing for pre-transition populations

Transition in risks of higher order births in Nepal: a life table analysis

The determinants of birth intervals: a qualitative approach from Punjab, India

Contact Info

Product

Resources

About