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https://nbn-resolving.org/urn:nbn:de:bib-cpos-2023-02en3

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Fertility Response to the COVID-19 Pandemic in Developed Countries - On Pre-pandemic Fertility Forecasts

[Zeitschriftenartikel]

Vanella, Patrizio
Greil, Arthur L.
Deschermeier, Philipp

Abstract

The COVID-19 pandemic has affected all areas of our lives. Among other outcomes, the academic literature and popular media both discuss the potential effects of the pandemic on fertility. As fertility is an important determinant of population development and population forecasts are important for po... mehr

The COVID-19 pandemic has affected all areas of our lives. Among other outcomes, the academic literature and popular media both discuss the potential effects of the pandemic on fertility. As fertility is an important determinant of population development and population forecasts are important for policy decisions and planning, we need to address to which extent fertility forecasts performed before the pandemic still apply. Using Monte Carlo forecasting based on principal components of fertility rates, we quantify the effects of the pandemic on fertility for 22 countries and discuss whether forecasts made prior to the pandemic need adjustment based on more recent data. Among the studied countries, 14 countries show no significant effect of the pandemic at all, while six countries have significantly lowered numbers of births in comparison to counterfactual trajectories that assume that past trends will hold. These countries are primarily in the Mediterranean and East Asia. For Finland and South Korea, there is statistical evidence for increased fertility in the early phases of the pandemic. In all cases with statistically significant fertility differentials caused by the pandemic, reproductive behavior normalized quickly. Therefore, we find no evidence for long-term effects of the pandemic on fertility, leading to the conclusion that pre-pandemic fertility forecasts still apply.... weniger

Thesaurusschlagwörter
Fruchtbarkeit; Bevölkerungsentwicklung; Geburt; Quantität; Prognose

Klassifikation
Bevölkerung

Freie Schlagwörter
COVID-19; Causality; International Trends; Monte Carlo Simulation; Principal Component Analysis; SARIMA Models; Stochastic Forecasting; Human Fertility Database, Short-Term Fertility Fluctuations dataset (HFD 2022)

Sprache Dokument
Englisch

Publikationsjahr
2023

Seitenangabe
S. 19-45

Zeitschriftentitel
Comparative Population Studies - Zeitschrift für Bevölkerungswissenschaft, 48 (2023)

DOI
https://doi.org/10.12765/CPoS-2023-02

ISSN
1869-8999

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung, Weitergabe unter gleichen Bedingungen 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.