Lisa CROSATO

Position
Associate Professor
Telephone
041 234 9219 / 041 234 6664
E-mail
lisa.crosato@unive.it
Scientific sector (SSD)
Statistica economica [STAT-02/A]
Website
www.unive.it/people/lisa.crosato (personal record)
Office
Department of Economics
Website: https://www.unive.it/dep.economics
Where: San Giobbe
Office
Interdepartmental School of Economics, Languages and Entrepreneurship
Website: https://www.unive.it/sele
Where: Treviso - Palazzo San Paolo

Activities and research skills

Scientific sector (SSD)
Statistica economica [STAT-02/A]
Settore Scientifico Disciplinare (SSD) affine
STATISTICA [SECS-S/01]
Geographic areas in which the research experience mainly applies
Internazionale: Europa
Known languages
inglese (scritto: avanzato parlato: avanzato)
Main departmental research areas and fields
Area: Statistica Linea: Settori industriali - modelli e metodi
Area: Statistica Linea: Sistema economico - modelli e metodi
Area: Statistica Linea: Sistema economico - politiche e gestione
Area: Statistica
Previsione del fallimento per le piccole e medie imprese
Description:
Prediction of SMEs default
Keywords:
Small Medium enterprise studies, Company valuation, Manufacturing studies
ATECO code:
[66.21] - valutazione dei rischi e dei danni
Analisi di mercato
Description:
Marketing research
Keywords:
Market analysis
ATECO code:
[73.20] - ricerche di mercato e sondaggi di opinione
Serie storiche economiche
Description:
Economic time series
ATECO code:
[72.20] - ricerca e sviluppo sperimentale nel campo delle scienze sociali e umanistiche
Analysis of Wage mobility in the long-run in European countries , wage and income distributions
SSD:
SECS-S/03
Lorenz curve estimation on grouped data
SSD:
SECS-S/03
Robust time series modelling
SSD:
SECS-S/03
SMEs default prediction
SSD:
SECS-S/03
Website data for economic analysis
SSD:
SECS-S/03
Data Driven Innovation. Measuring its Effects on Industries, Firms, and Business Models
Funding body:
MUR
Type:
PRIN
Role in the project:
NS
Starting date:
Year: 2022 Length in months: 24
Other members of the research group:
Massimiliano NUCCIO
Metodi robusti per l'analisi statistica di dati con strutture complesse
Funding body:
MIUR ( Azioni integrate Italia-Spagna)
Type:
Altri programmi ministeriali
Role in the project:
NS
Starting date:
Year: 2009 Length in months: 24
Nuove metodologie robuste per l'analisi di dati complessi
Funding body:
MIUR
Type:
PRIN
Role in the project:
NS
Starting date:
Year: 2008 Length in months: 24