D099 - ECONOMICS, BUSINESS AND STATISTICS

Educational activities

The attainment of the PhD title is subject to the acquisition of 180 ECTS (60 per year) certified by an illustrative/reporting document of the activities carried out, drawn up by the PhD student and accompanied by an opinion signed by the tutor. At the beginning of each year, the PhD student will present his/her training program, which the Doctoral Faculty Board will validate. The activities that the PhD student intends to undertake during the year and the corresponding training credits must be described in the form prepared and signed by the tutor.
More information on the articulation of credits is reported in the "PhD Program Summary".

Seminars

Date (yyyy/mm/dd)	Lecturer	Title
2023/12/12	Altunbas Yener	Are lenders really committed to environmental sustainability?
2023/12/06	Thornton John	Does executive board gender change when CEOs have daughters?
2024/01/24	Conz Elisa	Investigating Resilience in SMEs: A Multilevel Model
2024/05/07	Rooms Tommaso	How to measure the investment climate: the Doing Business and Business Ready Projects. An introduction to data, results, avenues for research.

Courses

Publishing in AMO (Accounting, Management & Organization) research

Instructors: Gabriella Levanti, Pasquale Massimo Picone, Sonia Quarchioni
Course Activity (hrs): 15
Credits:
Calendar: November 2023

Syllabus

Integrating Stata with other software applications: solutions for automatic reporting and data entry

Instructor: Giovanni Luca Lo Magno
Course activity (hrs): 3
Credits:
Calendar: 1^st December 2023, 9:00 a.m. - 12 p.m. (CET)

Syllabus

Change point estimation in regression models

Instructor: Vito Michele Rosario Muggeo
Course activity (hrs): 10
Credits:
Calendar: 6 to 9 February 2024

Syllabus

Identification of Shocks and Causal Effects in Macroeconomics

Instructors: Davide Furceri, Pietro Pizzuto, Luca Bettarelli
Course Activity (hrs): 20 (10 theory + 10 labs)
Credits: 4
Calendar:

1^st Module (Davide Furceri) – February 12-16, 2024;
2^nd and 3^rd Modules (Pietro Pizzuto and Luca Bettarelli) – February 19-23, 2024

Syllabus

Statistical methods for text mining with R

Instructor: Alessandro Albano, Mariangela Sciandra
Course activity (hrs): 12
Credits: 3
Calendar: From 26^th of February to 1^st of March, 2024 (to be agreed with students)

Syllabus

R course for biodiversity analysis

Instructor: Antonino Abbruzzo
Course activity (hrs): 20
Credits: 4
Calendar: 4^th March – 15^th March 2024

Syllabus

An introduction to Functional Data Analysis

Instructor: Valeria Vitelli (University of Oslo, Norway)
Course activity (hrs): 16
Credits:
Calendar: 25^th March - 28^th March 2024 (mornings and afternoon)

Syllabus