Training and Research

PhD Programme Courses/classes

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Catia Scricciolo

Microeconomics 1

Credits: 7.5

Language: English

Teacher:  Simona Fiore, Claudio Zoli, Martina Menon

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Cecilia Mancini

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Macroeconomics I

Credits: 7.5

Language: English

Teacher:  Tamara Fioroni, Alessia Campolmi

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Mathematics

Credits: 4.5

Language: English

Teacher:  Andrea Mazzon, Jonathan Yick Yeung Tam

Advice to Young Economists

Credits: 4

Language: English

Teacher:  Marco Piovesan

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri, Francesca Rossi

Mean Field Games (part I)

Credits: 2.5

Language: English

Teacher:  Luciano Campi

Job Market Orientation

Credits: 1

Language: English

Teacher:  Joan Madia, Simone Quercia

Discretization of Processes

Credits: 4.5

Language: English

Teacher:  Jean Jacod

Topics in applied economics with administrative data

Credits: 1

Language: English

Teacher:  Edoardo Di Porto

Multivariate Analysis with Latent Variables: The SEM Approach

Credits: 3

Language: English

Teacher:  Albert Satorra

Finanza Matematica

Credits: 5

Language: English

Teacher:  Alessandro Gnoatto

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Finite Mixture Models in Health Economics: Theory and Applications

Credits: 1

Language: English

Teacher:  Paolo Li Donni

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile

Development economics

Credits: 4

Language: English

Teacher:  Federico Perali

Finance

Credits: 4

Language: English

Teacher:  Giorgio Vocalelli

Mean Field Games (part II)

Credits: 2.5

Language: English

Teacher:  Giulia Liveri

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto-Ferro, Christa Cuchiero

Dynamic Corporate Finance

Credits: 2

Language: Englìsh

Credits

4

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

I design this course to help Ph.D. students reflect on and discuss their scientific careers in economics. At the end of this course, students should have a clear idea of what they need to turn their Ph.D. into a job.
Learning outcomes:
- Analyze the process of doing a Ph.D. in Economics and reflect on what the market expects from a Ph.D. student;
- Map professional competencies and develop a concrete plan to meet your career goals;
- Practice your writing and presentation skills;
- Discuss how to manage pressure and maintain a work/life balance.

Prerequisites and basic notions

None

Program

The course is divided into 5 modules:
1) Finding a research topic
2) Scientific writing
3) Presenting results
4) Publication process
5) Getting funding

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Each module comprises 3 parts:
- Lecture introduces the topic;
- Exercise gives students the possibility to work -alone or in small groups- on specific assignments;
- Discussion is a space to discuss together the material proposed.

Learning assessment procedures

Written homework and final oral exam

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

The exam verifies that the course objectives have been achieved.

Criteria for the composition of the final grade

Written homework (50%) and final oral exam (50%)

Scheduled Lessons

When Classroom Teacher topics
Tuesday 14 November 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Advice to Young Researchers
Tuesday 12 December 2023
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Advice to Young Researchers
Friday 19 April 2024
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Advice to Young Researchers
Friday 17 May 2024
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Advice to Young Researchers
Friday 07 June 2024
14:00 - 18:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Advice to Young Researchers