Age-period-cohort analysis of U.S. fertility: a realistic approach

Francesco Billari () and Rebecca Graziani ()
Additional contact information
Francesco Billari: Bocconi University
Rebecca Graziani: Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 4, No 1, 3040 pages

Abstract: Abstract A key question for the explanation of fertility trends in advanced societies is whether, in addition to age, period- rather than cohort-related factors matter. In this paper, we analyze a standard set of age-specific fertility rates – from the Human Fertility Database – on the United States between 1933 and 2015. More specifically, we describe and apply an Age-Period-Cohort (APC) modeling approach that relies on second differences as identifiable parameters. Results of our APC analyses tend to be consistent with an interpretation that gives a greater weight to period effects over shorter time horizons, with a significant presence of smooth cohort effects over the longer term.

Keywords: Age-period-cohort analysis; Identification issue; Fertility analysis (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-023-01787-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:58:y:2024:i:4:d:10.1007_s11135-023-01787-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-023-01787-5

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().