Measures for Human Reproduction Should Be Linked to Both Men and Women
Joint Authors
Keilman, Nico
Tymicki, Krzysztof
Skirbekk, Vegard
Source
International Journal of Population Research
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Economics & Business Administration
Economy
Abstract EN
We introduce the two-sex net reproduction rate (2SNRR) and the two-sex total fertility rate (2STFR)—two demographic indicators that reflect the number of children born, given age specific fertility and mortality of the adults.
The main quality of these indicators is that they measure the childbearing behaviour of both women and men.
The indicators have intuitive value, since they tell us to what extent adults are replaced by children.
While the traditional net reproduction rate (NRR) describes general replacement trends among women only, the 2SNRR is an indicator of a population’s growth potential, irrespective of sex.
We demonstrate the use of the indicators with data from Bejsce parish in Poland for the period 1800–1967 and with data from UN projections for China for future years.
We discuss the consequences for our understanding of fertility trends when sex ratios deviate from normal levels.
American Psychological Association (APA)
Keilman, Nico& Tymicki, Krzysztof& Skirbekk, Vegard. 2014. Measures for Human Reproduction Should Be Linked to Both Men and Women. International Journal of Population Research،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-507225
Modern Language Association (MLA)
Keilman, Nico…[et al.]. Measures for Human Reproduction Should Be Linked to Both Men and Women. International Journal of Population Research No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-507225
American Medical Association (AMA)
Keilman, Nico& Tymicki, Krzysztof& Skirbekk, Vegard. Measures for Human Reproduction Should Be Linked to Both Men and Women. International Journal of Population Research. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-507225
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507225
