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[journal article]

dc.contributor.authorVanella, Patriziode
dc.contributor.authorGreil, Arthur L.de
dc.contributor.authorDeschermeier, Philippde
dc.date.accessioned2023-09-19T09:37:46Z
dc.date.available2023-09-19T09:37:46Z
dc.date.issued2023de
dc.identifier.issn1869-8999de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/89159
dc.description.abstractThe 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.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherCOVID-19; Causality; International Trends; Monte Carlo Simulation; Principal Component Analysis; SARIMA Models; Stochastic Forecasting; Human Fertility Database, Short-Term Fertility Fluctuations dataset (HFD 2022)de
dc.titleFertility Response to the COVID-19 Pandemic in Developed Countries - On Pre-pandemic Fertility Forecastsde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urlhttp://www.comparativepopulationstudies.de/index.php/CPoS/article/view/547/369de
dc.source.journalComparative Population Studies - Zeitschrift für Bevölkerungswissenschaft
dc.source.volume48de
dc.publisher.countryDEUde
dc.subject.classozBevölkerungde
dc.subject.classozPopulation Studies, Sociology of Populationen
dc.subject.thesozFruchtbarkeitde
dc.subject.thesozfertilityen
dc.subject.thesozBevölkerungsentwicklungde
dc.subject.thesozpopulation developmenten
dc.subject.thesozGeburtde
dc.subject.thesozbirthen
dc.subject.thesozQuantitätde
dc.subject.thesozquantityen
dc.subject.thesozPrognosede
dc.subject.thesozprognosisen
dc.identifier.urnurn:nbn:de:bib-cpos-2023-02en3de
dc.rights.licenceCreative Commons - Namensnennung, Weitergabe unter gleichen Bedingungen 4.0de
dc.rights.licenceCreative Commons - Attribution-ShareAlike 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10044407
internal.identifier.thesoz10039081
internal.identifier.thesoz10044666
internal.identifier.thesoz10044683
internal.identifier.thesoz10036432
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo19-45de
internal.identifier.classoz10303
internal.identifier.journal60
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.12765/CPoS-2023-02de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence24
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttp://www.comparativepopulationstudies.de/index.php/CPoS/oai@@oai:ojs.comparativepopulationstudies.de:article/547
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