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Demographic measurement: general issues and measures of fertility

Demographic measurement: general issues and measures of fertility
Demographic measurement: general issues and measures of fertility
The article starts by outlining the types of demographic events and states that are routinely measured in demography. Demographic measures are designed to quantify the level, timing, and distribution of demographic phenomena. Their purpose is to allow comparison across time and space, and between subpopulations. They are required particularly because of the substantial variation in the frequency of demographic events and states by age, and because populations vary in size and composition with respect to age and other factors influencing the frequency of events and states. Measures may be crude or specific by one or more factors. To allow for differences in structure between populations, sets of specific rates may be generated. A single-figure index may be used to summarize such arrays of specific rates by a number of forms of standardization. Standardization may also be carried out in the absence of specific rates for one or more of the populations to be compared. The entry goes on to describe the principal measures of fertility currently in use. Like other demographic rates, fertility measures are of two types: those in which the denominator is confined to those at risk of the event in question (type 1), and those in which the denominator includes all persons, irrespective of whether they are at risk of the event (type 2). Synthetic or hypothetical cohort indicators of fertility are designed both to summarize the rates of a period and to estimate the consequences for a hypothetical cohort of women subject throughout their lifetime to the rates of a particular period. There are several ways in which such indicators can be generated. The advantages and disadvantages of synthetic cohort indicators are discussed. Measures of both level and timing of fertility are presented. The definitions of the principal fertility measures currently in use are set out in tabular form
0-08-043076-7
3435-3442
Elsevier
Ní Bhrolcháin, Máire
c9648b58-880e-4296-a173-7241449e0078
Smelser, N.J.
Wright, J.
Baltes, P.B.
Ní Bhrolcháin, Máire
c9648b58-880e-4296-a173-7241449e0078
Smelser, N.J.
Wright, J.
Baltes, P.B.

Ní Bhrolcháin, Máire (2001) Demographic measurement: general issues and measures of fertility. In, Smelser, N.J., Wright, J. and Baltes, P.B. (eds.) International Encyclopedia of Social and Behavioral Sciences. Oxford, GB. Elsevier, pp. 3435-3442. (doi:10.1016/B0-08-043076-7/02100-8).

Record type: Book Section

Abstract

The article starts by outlining the types of demographic events and states that are routinely measured in demography. Demographic measures are designed to quantify the level, timing, and distribution of demographic phenomena. Their purpose is to allow comparison across time and space, and between subpopulations. They are required particularly because of the substantial variation in the frequency of demographic events and states by age, and because populations vary in size and composition with respect to age and other factors influencing the frequency of events and states. Measures may be crude or specific by one or more factors. To allow for differences in structure between populations, sets of specific rates may be generated. A single-figure index may be used to summarize such arrays of specific rates by a number of forms of standardization. Standardization may also be carried out in the absence of specific rates for one or more of the populations to be compared. The entry goes on to describe the principal measures of fertility currently in use. Like other demographic rates, fertility measures are of two types: those in which the denominator is confined to those at risk of the event in question (type 1), and those in which the denominator includes all persons, irrespective of whether they are at risk of the event (type 2). Synthetic or hypothetical cohort indicators of fertility are designed both to summarize the rates of a period and to estimate the consequences for a hypothetical cohort of women subject throughout their lifetime to the rates of a particular period. There are several ways in which such indicators can be generated. The advantages and disadvantages of synthetic cohort indicators are discussed. Measures of both level and timing of fertility are presented. The definitions of the principal fertility measures currently in use are set out in tabular form

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Published date: 2001
Additional Information: This article presents the principal ways in which nuptiality, mortality, migration, and population growth are currently measured in demography. It follows on from the article Demographic Measurement: General Issues and Measures of Fertility, the first part of which discusses some general issues relating to demographic measurement. The section on nuptiality covers indices of both level and timing of marriage, divorce, and cohabitation. Crude and specific rates are presented along with synthetic or hypothetical cohort measures. Synthetic cohort measures of nuptiality include the total marriage rate, the total divorce rate, gross nuptiality, net nuptiality, and a period life table-based measure of the proportion of marriages ending in divorce. The definitions of the main types of nuptiality and mortality measures are given in tabular form.

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Local EPrints ID: 190339
URI: http://eprints.soton.ac.uk/id/eprint/190339
ISBN: 0-08-043076-7
PURE UUID: 4d1089fd-1b5b-44e1-bb4c-a543e425b1ad

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Date deposited: 17 Jun 2011 09:08
Last modified: 14 Mar 2024 03:39

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Contributors

Author: Máire Ní Bhrolcháin
Editor: N.J. Smelser
Editor: J. Wright
Editor: P.B. Baltes

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