Training and Research

PhD Programme Courses/classes - 2023/2024

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

Financial Mathematics

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, Catia Nicodemo

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

This course provides an introduction to health economics, the application of economic theory and empirical analysis to problems in the public health and healthcare sector. We will examine how the tools of economics can be used to analyse issues such as health-related behaviours, the efficiency of health care provision and the role of asymmetric information.
By the end of this course, students will be able to:
understand fundamental economic concepts of supply, demand, and markets as they apply to healthcare; evaluate health policies through modern tools for the economic analysis.
This course focuses on real-world application of health economics. Students will develop the core skills needed to critically examine problems and contribute evidence to improve population health outcomes, system performance, and economic efficiency.

Prerequisites and basic notions

Microeconomics
Econometrics

Program

- The demand for health and health care over the life cycle and the dynamics of health expenditure
- Risky behaviours and the impact of policies promoting healthy lifestyles
- Health inequality and its determinants over the life cycle
- Agents involved in the provision of healthcare: objectives and interactions
- The purchaser-provider relationship and asymmetries of information
- Second-best contracts for the provision of healthcare
- The role of competition among providers: theory and applications
- Measuring (in)efficiency in the provision of healthcare: theory and applications

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.

When and where

In-class lectures, with presentations to share illustrative slides and key content with students.
In-class discussions facilitated by the instructor on relevant themes, complex concepts and practical applications to promote active participation, critical thinking and exchange of perspectives among students.
Practical exercises for groups of students during lessons to collaboratively apply theoretical teachings through case studies, problem-solving activities, and analysis of real scenarios.

Learning assessment procedures

The assessment will be based on three assignments. Presentations of some of the work undertaken for the assignments will form part of the assessment.
First assignment: Students will be provided with a manuscript draft and will have to write an 800 word referee report, including a 100 word original summary of the paper, and at least 5 major and 5 minor suggestions for the paper.
Second assignment: Students will have to choose a paper within a sample of papers that have had their abstract, and introduction removed. The assignment consists in writing a 1200 word introduction and a 150 word abstract.
Third assignment: Students will provided with AI generated answers to some specific research questions. They will have to comment on the answer correctness and possible limitations.
Written assignments: Students will complete short essays or response papers during the course to analyze cases, answer questions that assess learning, or summarize research. These allow the instructor to evaluate writing abilities.

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

Assessment

Assessment will take into account the student's ability to understand the issues addressed and methods presented and to use these skills to address relevant research questions.

Criteria for the composition of the final grade

75% assignment
25% presentation

Scheduled Lessons

When Classroom Teacher topics
Tuesday 30 April 2024
14:00 - 18:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Catia Nicodemo Health Economics
Wednesday 08 May 2024
14:00 - 18:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Catia Nicodemo Health Economics
Thursday 09 May 2024
09:00 - 13:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Paolo Pertile Health Economics
Friday 10 May 2024
09:00 - 13:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Paolo Pertile Health Economics

PhD school courses/classes - 2023/2024

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.

Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, no confirmation e-mail will be sent after signing up.

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Faculty

A B C D F G L M N P Q R S T V Z

Andreoli Francesco

symbol email francesco.andreoli@univr.it symbol phone-number 045 802 8102

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Buccheri Giuseppe

symbol email giuseppe.buccheri@univr.it symbol phone-number 045 8028525

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Campolmi Alessia

symbol email alessia.campolmi@univr.it symbol phone-number 045 802 8071

Cipriani Giam Pietro

symbol email giampietro.cipriani@univr.it symbol phone-number 045 802 8271

Demo Edoardo

symbol email edoardo.demo@univr.it symbol phone-number 045 802 8782 (VR) 0444.393930 (VI)

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Fiore Simona

symbol email simona.fiore@univr.it

Fioroni Tamara

symbol email tamara.fioroni@univr.it

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537

Levati Maria Vittoria

symbol email vittoria.levati@univr.it symbol phone-number 045 802 8640

Mancini Cecilia

symbol email cecilia.mancini@univr.it

Mazzon Andrea

symbol email andrea.mazzon@univr.it

Menon Martina

symbol email martina.menon@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Nicodemo Catia

symbol email catia.nicodemo@univr.it symbol phone-number +39 045 8028340

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Picarelli Athena

symbol email athena.picarelli@univr.it symbol phone-number 045 8028242

Piovesan Marco

symbol email marco.piovesan@univr.it symbol phone-number 045.80.28.104

Quercia Simone

symbol email simone.quercia@univr.it symbol phone-number 045 802 8237

Renò Roberto

symbol email roberto.reno@univr.it symbol phone-number 045 802 8526

Ricciuti Roberto

symbol email roberto.ricciuti@univr.it symbol phone-number 0458028417

Rossi Francesca

symbol email francesca.rossi_02@univr.it symbol phone-number 045 802 8098

Scricciolo Catia

symbol email catia.scricciolo@univr.it symbol phone-number 045 8028341

Sommacal Alessandro

symbol email alessandro.sommacal@univr.it symbol phone-number 045 802 8716

Svaluto Ferro Sara

symbol email sara.svalutoferro@univr.it symbol phone-number 045 8028783

Veronesi Marcella

symbol email marcella.veronesi@univr.it

Vocalelli Giorgio

symbol email giorgio.vocalelli@univr.it

Zarri Luca

symbol email luca.zarri@univr.it symbol phone-number 045 802 8101

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 045 802 8479

PhD students

PhD students present in the:

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Course lessons
PhD Schools lessons

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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.

Documents

Title Info File
File pdf Guidelines PhD students pdf, en, 334 KB, 19/04/24
File pdf Linee guida dottorandi pdf, it, 251 KB, 19/04/24
File pdf Percorso formativo pdf, it, 283 KB, 19/04/24
File pdf Training program pdf, en, 358 KB, 19/04/24