Show simple item record

dc.contributor.author Hill, Matthew J.
dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
dc.date.accessioned 2017-07-26T10:49:58Z
dc.date.available 2017-07-26T10:49:58Z
dc.date.issued 2014-09-01
dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=1453
dc.identifier.citation Explorations in Economic History, Forthcoming
dc.identifier.uri http://hdl.handle.net/10230/22806
dc.description.abstract This paper reexamines the first viable and a still leading explanation for mid-twentieth century baby booms: Richard Easterlin's relative income hypothesis. He suggested that when incomes are higher than material aspirations (formed in childhood), birth rates would rise. This paper uses microeconomic data to formulate a measure of an individual's relative income. The use of microeconomic data allows the researcher to control for both state fixed effects and cohort fixed effects, both have been absent in previous examinations of Easterlin's hypothesis. The results of the empirical analysis are consistent with Easterlin's assertion that relative income influenced fertility decisions, although the effect operates only through childhood income. When the estimated effects are contextualized, they explain 12 percent of the U.S. baby boom.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries Economics and Business Working Papers Series; 1453
dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title Easterlin revisted: Relative income and the baby boom
dc.type info:eu-repo/semantics/workingPaper
dc.date.modified 2017-07-23T02:51:44Z
dc.subject.keyword Economic and Business History
dc.rights.accessRights info:eu-repo/semantics/openAccess

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

In collaboration with Compliant to Partaking