A Cliometric Model of Unified Growth: Family Organization and Economic Growth in the Long Run of History
Claude Diebolt and
Faustine Perrin
Chapter Chapter 2 in Cliometrics of the Family, 2019, pp 7-31 from Springer
Abstract:
Abstract This chapter explores the role of gender equality on the long-run economic and demographic development path of industrialized countries. It accounts for changes in fertility, technology and income per capita in the transition from stagnation to sustained growth. Our unified cliometric growth model of female empowerment suggests that changes in gender relations, triggered by endogenous skill-biased technological progress, induce women to invest in skilled education and begin a process of human capital accumulation. At the same time, more time spent by women in education increases the opportunity cost of having children and reduces fertility. This positive feedback loop generates both a demographic and an economic transition.
Keywords: Cliometrics; Economic growth; Gender; Fertility; Human capital (search for similar items in EconPapers)
JEL-codes: J1 N3 O4 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (15)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: A Cliometric Model of Unified Growth. Family Organization and Economic Growth in the Long Run of History (2017) 
Working Paper: A Cliometric Model of Unified Growth. Family Organization and Economic Growth in the Long Run of History (2017) 
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:spr:stechp:978-3-319-99480-2_2
Ordering information: This item can be ordered from
http://www.springer.com/9783319994802
DOI: 10.1007/978-3-319-99480-2_2
Access Statistics for this chapter
More chapters in Studies in Economic History from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().