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dc.contributor.authorDurlauf, Steven N.en
dc.contributor.authorKourtellos, Androsen
dc.contributor.authorTan, Chih Mingen
dc.creatorDurlauf, Steven N.en
dc.creatorKourtellos, Androsen
dc.creatorTan, Chih Mingen
dc.date.accessioned2019-05-03T05:22:03Z
dc.date.available2019-05-03T05:22:03Z
dc.date.issued2017
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/47281
dc.description.abstractIn this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into “status traps.” Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasetsen
dc.description.abstractthat is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. © 2017 American Statistical Association.en
dc.language.isoengen
dc.sourceJournal of Business and Economic Statisticsen
dc.subjectInequalityen
dc.subjectIntergenerational mobilityen
dc.subjectPoverty trapsen
dc.subjectThreshold regressionen
dc.titleStatus Trapsen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1080/07350015.2016.1189339
dc.description.volume35
dc.description.startingpage265
dc.description.endingpage287
dc.author.facultyΣχολή Οικονομικών Επιστημών και Διοίκησης / Faculty of Economics and Management
dc.author.departmentΤμήμα Οικονομικών / Department of Economics
dc.type.uhtypeArticleen
dc.contributor.orcidKourtellos, Andros [0000-0001-9662-0420]
dc.description.totalnumpages265-287
dc.gnosis.orcid0000-0001-9662-0420


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