1 Will you marry my degree? An exploratory quantile regression with many covariates 1 This version December 1, 2022 George Myron Agiomirgianakis c a Department of Accounting & Finance, School of Economics & Management Sciences, Hellenic Mediterranean University, 71410 Heraklion, Greece and Economic Analysis and Policy Lab, Hellenic Open University, Greece. E-mail: georgeagios@hmu.gr Konstantinos Gkillas b,* b,* Corresponding author. Department of Management Science & Technology, University of Patras, Megalou Aleksandrou 1, Koukouli, 26334 Patras, Greece; E-mail: gillask@upatras.gr Anastasia Pseiridis c c Institute of Urban Environment & Human Resources, Department of Economics and Regional Development Panteion University, 136 Syngrou Ave., 17671 Athens, Greece. E-mail: pseiridis@panteion.gr Nicholas Tsounis d Laboratory of Applied Economics, Department of Economics, University of Western Macedonia, Fourka Area, 52100 Kastoria, Greece; Hellenic Open University, Greece. E-mail: ntsounis@uowm.gr Abstract Which and how many covariates are relevant to educational hypergamy in the matching market? This paper addresses these questions by 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. Keywords: hypergamy; educational level; lasso regression; quantile regression JEL classification: D31; I21; J16 1 Hellenic Open University (HOU) research project co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF).