Will you marry my degree? An exploratory quantile regression with many covariates
George Agiomirgianakis,
Konstantinos Gkillas,
Anastasia Pseiridis and
Nicholas Tsounis
Applied Economics Letters, 2024, vol. 31, issue 9, 819-823
Abstract:
Which and how many covariates are relevant to educational hypergamy in the matching market? We address these questions using a Lasso quantile regression framework applied on a unique survey containing information with respect to education or other characteristics associated with economic well-being. Our findings provide evidence for the end of hypergamy as we show that females tend to reduce the educational gap in their preferences for selecting a partner.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:31:y:2024:i:9:p:819-823
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DOI: 10.1080/13504851.2022.2152417
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