NDLI: The Estimation of Fertility Effects on Happiness: Even More Difficult than Usually Acknowledged

Content Provider	Springer Nature Link
Author	Kravdal, Øystein
Copyright Year	2014
Abstract	There have been many studies of how the number of children in a family affects the parents’ or the children’s lives. One strand of this research focuses on the implications of fertility for the parents’ level of self-reported well-being or happiness. It is argued in this paper that an overall “happiness effect” is not very informative because of the presumably large variation in individuals’ perceived gains from having children. Furthermore, it is explained that such an effect would be difficult to estimate. Most importantly, the highly varying ideas about how a child will affect life quality are important for the decision about whether to have a child. Many of those who have few or no children have chosen this because they think their life will be best this way, and their happiness therefore tells us little about how happy their more fertile counterparts—who to a large extent have different views about the consequences of childbearing—would have been if they had few or no children. This estimation problem that arises when effects of a certain event (here childbearing) are heterogeneous, and the individuals who experience that event tend to be among those for whom the effects are particularly positive or negative, is acknowledged in the treatment effect literature. However, there is little consciousness about it in the fertility–happiness research. In addition, there is a more “standard” selection problem: factors with implications for childbearing desires, or for the chance of fulfilling these, may also affect or be linked to happiness for other reasons. Unfortunately, even the most advanced statistical approaches that have been used in this research area fail to handle all these problems, so reported results should be interpreted very cautiously.
Starting Page	263
Ending Page	290
Page Count	28
File Format	PDF
ISSN	01686577
Journal	European Journal of Population / Revue européenne de Démographie
Volume Number	30
Issue Number	3
e-ISSN	15729885
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-02-27
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Fertility Happiness Heterogeneity Method Reflection Selection Subjective Well-being Demography Sociology Human Geography Population Economics Public Finance & Economics Methodology of the Social Sciences
Content Type	Text
Resource Type	Article
Subject	Demography

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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