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| dc.contributor.advisor | Casarin, Roberto | it_IT |
| dc.contributor.author | Montello, Pierfrancesco <1997> | it_IT |
| dc.date.accessioned | 2022-06-26 | it_IT |
| dc.date.accessioned | 2022-10-11T08:27:05Z | |
| dc.date.available | 2022-10-11T08:27:05Z | |
| dc.date.issued | 2022-07-12 | it_IT |
| dc.identifier.uri | http://hdl.handle.net/10579/21904 | |
| dc.description.abstract | The aim of the analysis is to create models, and choose the best among them, that predict the probability of deafult of mortgages in italian buildings. In particular, the focus will be on the impact of the factor of energy efficiency: if (and how) being more energy efficient has influence on the probability of repaying the loan. | it_IT |
| dc.language.iso | en | it_IT |
| dc.publisher | Università Ca' Foscari Venezia | it_IT |
| dc.rights | © Pierfrancesco Montello, 2022 | it_IT |
| dc.title | Modeling Default Probability and Energy Efficiency in Italian Residential Buildings | it_IT |
| dc.title.alternative | Modeling Default Probability and Energy Efficiency in Italian Residential Buildings | it_IT |
| dc.type | Master's Degree Thesis | it_IT |
| dc.degree.name | Data analytics for business and society | it_IT |
| dc.degree.level | Laurea magistrale | it_IT |
| dc.degree.grantor | Dipartimento di Economia | it_IT |
| dc.description.academicyear | 2021/2022_sessione estiva_110722 | it_IT |
| dc.rights.accessrights | openAccess | it_IT |
| dc.thesis.matricno | 887309 | it_IT |
| dc.subject.miur | SECS-S/03 STATISTICA ECONOMICA | it_IT |
| dc.description.note | it_IT | |
| dc.degree.discipline | it_IT | |
| dc.contributor.co-advisor | it_IT | |
| dc.date.embargoend | it_IT | |
| dc.provenance.upload | Pierfrancesco Montello (887309@stud.unive.it), 2022-06-26 | it_IT |
| dc.provenance.plagiarycheck | Roberto Casarin (r.casarin@unive.it), 2022-07-11 | it_IT |
