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  Uncertainty and Narratives of the Future: A Theoretical Framework for Contemporary Fertility

Vignoli, D., Bazzani, G., Guetto, R., Minello, A., & Pirani, E. (2020). Uncertainty and Narratives of the Future: A Theoretical Framework for Contemporary Fertility. In R. Schoen (Ed.), Analyzing Contemporary Fertility (pp. 25-47). Cham: Springer. doi:10.1007/978-3-030-48519-1_3.

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 Creators:
Vignoli, Daniele1, Author
Bazzani, Giacomo1, 2, Author           
Guetto, Raffaele1, Author
Minello, Alessandra1, Author
Pirani, Elena1, Author
Affiliations:
1University of Florence, Italy, ou_persistent22              
2Projekte von Gastwissenschaftlern und Postdoc-Stipendiaten, MPI for the Study of Societies, Max Planck Society, ou_1214554              

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 Abstract: Explanations for fertility decisions based on structural constraints—such as labor, housing condition, or income—do not account for the contemporary fertility downturn faced by many countries in Europe. In this paper, we posit that the rise of uncertainty is central for understanding contemporary fertility dynamics. We propose a theoretical framework (the Narrative Framework) for the study of fertility decisions under uncertain conditions based on expectations, imaginaries and narratives. Relying on the idea of future–oriented action, we argue that uncertainty needs to be conceptualized and operationalized taking into account that people use works of imagination, producing their own narrative of the future. Narratives of the future are potent driving forces helping people to act according to or despite uncertainty. We present the different elements of the Narrative Framework and address its causal validity. We conclude by highlighting the advantages of taking into account the narratives of the future in fertility research.

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Language(s): eng - English
 Dates: 2020-08-132020
 Publication Status: Issued
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 Identifiers: DOI: 10.1007/978-3-030-48519-1_3
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Title: Analyzing Contemporary Fertility
Source Genre: Collected Edition
 Creator(s):
Schoen, Robert1, Editor
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1 Population Research Institute, Pennsylvania State University, University Park, USA, ou_persistent22            
Publ. Info: Cham : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 25 - 47 Identifier: ISBN: 978-3-030-48518-4
ISBN: 978-3-030-48519-1
DOI: 10.1007/978-3-030-48519-1

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Title: The Springer Series on Demographic Methods and Population Analysis
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Pages: - Volume / Issue: 51 Sequence Number: - Start / End Page: - Identifier: -