A multiple decrement fertility table based on parity

Golbeck, Amanda L.

doi:10.1016/0025-5564(86)90017-9

Cited by 2 publications

(2 citation statements)

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“…We introduce the idea of a birth table that depicts how a to-be-born offspring population is decremented by birth. This concept is different from -but closely linked tothe concept of a life table in fertility research (Hoem 1970;Feeney 1983;Oechsli 1975;Golbeck 1986;Chiang and Van Den Berg 1982). The Human Fertility Database (2020) offers cohort and period fertility tables for a range of countries.…”

Section: Discussionmentioning

confidence: 99%

“…A limiting factor of our approach is its disconnection between specific women and specific children, which does not allow one to distinguish parity at birth or calculate other measures such as parity-specific fertility rates. Fertility tables based on parity rather than age have previously been developed (Hoem 1970;Feeney 1983;Golbeck 1986). These unconventional fertility tables rely on transition probabilities between stages to calculate average waiting times between birth orders and emphasize the importance of mother's stage rather than age (Caswell et al 2018).…”

Section: Discussionmentioning

confidence: 99%

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Born once, die once: Life table relationships for fertility

Baudisch¹,

Alvarez²

2021

DemRes

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BACKGROUNDEveryone dies, and only once. This basic truth underlies all formal mortality research. Similarly, everyone is born, and only once. This basic truth has not been fully exploited to benefit formal fertility research. An advance has recently been made by Baudisch and Stott (2019), who conceive a population of unborn children awaiting the event of their own birth. This approach introduces a novel survivorship concept for birth. RESULTSFormalizing the idea of "birth survival," here we define the underlying random variable and derive the central triplet of survival analysis functions -hazard, density, and survival. We demonstrate that using a "born once, die once" analogy results in a straightforward framework to capture age-specific patterns of birth, analogous to classical life table functions. Based on a single variable (age-specific birth counts), we construct a "birth table" and, from there, meaningful summary measures such as "birth expectancy" and associated measures of spread. CONTRIBUTIONWe advance a new framework to enrich the toolbox of fertility research. The relationships developed here serve to compare birth schedules across populations and reveal macrolevel patterns and constraints. The triplet of birth functions and the birth table set the stage to transfer methods from mortality to fertility research. They offer a starting point to study birth and death within the same framework and for the same focal individual. With analogous formal methods, studies of the intertwined relationships between birth and death become possible. This, we envision, will open an entirely unexplored line of research.

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