Estimating the structure by age and sex of the US sexually active population

Carlos Bustamante Orellana, Jordan Lyerla, Aaron Martin, Fabio Milner and Elisha Smith

Mathematical Population Studies, 2024, vol. 31, issue 2, 105-115

Abstract: A model combines demographic data provided by the United States Census Bureau for 2021 with survey data on sexual activity from the Centers for Disease Control and Prevention to estimate the structure by age and sex of the sexually active population in the United States. It also provides the proportions of newly sexually active people by age and sex. The model is based on percentages of sexually active people by age and sex, and on an ordinary differential equation formalizing a “learning process” for the years 2009 to 2019. The data produced fit well with the empirical data for each age and sex.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/08898480.2024.2301868 (text/html)
Access to full text is restricted to subscribers.

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:taf:mpopst:v:31:y:2024:i:2:p:105-115

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GMPS20

DOI: 10.1080/08898480.2024.2301868

Access Statistics for this article

Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino

More articles in Mathematical Population Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().