SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(external source)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.12765/CPoS-2017-07en

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Impact of Regional Factors on Cohort Fertility: New Estimations at the District Level in Germany

Einfluss regionaler Faktoren auf die Kohortenfertilität: neue Schätzwerte auf Kreisebene in Deutschland
[journal article]

Bujard, Martin
Scheller, Melanie

Abstract

"Incorporating the regional context into fertility research has a long standing tradition. However, in Germany, fertility data at the district level only exist for period total fertility rates (TFR), but not for cohort total fertility rates (CTFR). Based on the 2011 census and birth statistics, we e... view more

"Incorporating the regional context into fertility research has a long standing tradition. However, in Germany, fertility data at the district level only exist for period total fertility rates (TFR), but not for cohort total fertility rates (CTFR). Based on the 2011 census and birth statistics, we estimate the CTFR at the district level and analyse factors influencing their variation. First, we estimate the CTFR for the 1969-72 cohorts in all 402 German districts. The estimated CTFR differ strongly across German districts ranging between 1.05 and 2.01. Further, the estimated CTFR differ substantially from the known TFR values. This is mainly due to biases in the tempo component of the TFR, which are crucial in East German districts, university cities and in urban-rural comparisons. Therefore, the estimated CTFR allow for a better assessment of fertility differences across districts. Second, we analyse the differences in the newly estimated CTFR employing regression models. Composition effects such as a low proportion of highly educated women, a high share of Catholics or immigrants are significantly associated with higher CTFR in West German districts. However, regional opportunities are also important: A low population density, the availability of relatively spacious dwellings, a surplus of males, a small service sector and low unemployment rates are associated with higher fertility. Overall the analyses show regional factors are highly relevant for fertility." (author's abstract). This article contains supplementary material in the form of an online appendix: http://dx.doi.org/10.12765/CPoS-2017-08en... view less

Keywords
fertility; birth trend; number of children; regional factors; regional difference; socioeconomic factors; demographic factors; population statistics; microcensus; New Federal States; old federal states; Federal Republic of Germany

Classification
Population Studies, Sociology of Population

Free Keywords
cohort fertility; population geography

Document language
English

Publication Year
2017

Page/Pages
p. 55-87

Journal
Comparative Population Studies - Zeitschrift für Bevölkerungswissenschaft, 42 (2017)

ISSN
1869-8999

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-ShareAlike 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.