Building's Energy Efficiency and Residential Mortgage Default Behavior: Evidence from Italy and Germany

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dc.contributor.advisor Pelizzon, Loriana it_IT
dc.contributor.author Cicuto, Michele <1994> it_IT
dc.date.accessioned 2019-02-17 it_IT
dc.date.accessioned 2019-06-11T08:40:50Z
dc.date.issued 2019-03-08 it_IT
dc.identifier.uri http://hdl.handle.net/10579/14174
dc.description.abstract The aim of this thesis is to investigate the relation between mortgage default behavior, building’s energy efficiency and other sustainability features. The study focuses on two European countries, Italy and Germany. To this end, I constructed a dataset for each country by combining borrower-level mortgage information with selected variables related to building’s energy efficiency. By employing a logistic regression and a linear regression, I tested the effects of several variables on the probability of mortgage default and the equity at default, i.e. the difference between the value of the house and the value of the outstanding debt. The results show that building’s energy efficiency and investments made to improve the quality of the property imply a lower likelihood of mortgage default and increase equity at default. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Michele Cicuto, 2019 it_IT
dc.title Building's Energy Efficiency and Residential Mortgage Default Behavior: Evidence from Italy and Germany it_IT
dc.title.alternative Building's Energy Efficiency and Residential Mortgage Default Behavior: Evidence from Italy and Germany it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2017/2018, sessione straordinaria it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 866126 it_IT
dc.subject.miur SECS-P/05 ECONOMETRIA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Michele Cicuto (866126@stud.unive.it), 2019-02-17 it_IT
dc.provenance.plagiarycheck Loriana Pelizzon (pelizzon@unive.it), 2019-03-04 it_IT


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