- Seminars for the research deepening in Micro-Macroeconomics (first and second year)
The seminars are delivered by both faculty members participating in the Academic Board and external professors from Italian and foreign universities who collaborate on an ongoing basis with the educational project. The objective is to provide students with specialized knowledge and innovative research insights in the following disciplinary areas:
- Microeconomics (Production, Consumption, General Equilibrium; Industrial Organization)
- Macroeconomics (Growth, overlapping generation models, Consumption, Investment, Business Cycle, Monetary economics)
- Green transition, global change, educational challenges
- Innovation, entrepreneurship, global value chains
- Behavioral Economics
- Resilience and Structural Change
- Agricultural and Environmental Economics
- European Integration, development, and strategies
- Strategy, Sustainability, Input-Output Analysis
- Topics in microeconomics: uncertainty, contracts, and environment
- Game Theory
Attendance entails credits’ acquisition.
- Seminars for the research deepening in Management (first and second year)
The seminars are delivered by both faculty members participating in the Academic Board and external professors from Italian and foreign universities who collaborate on an ongoing basis with the educational project. The objective is to provide students with specialized knowledge and innovative research insights in the following disciplinary areas:
- Creation of public value;
- Organization and management of health services;
- Sustainability and management of cultural organizations;
- Business model and circular economy strategies;
- Finance and Risk Management;
- Marketing and Retailing;
- Business organization.
Attendance entails credits’ acquisition.
- Seminars for the research deepening in Economics History (first and second year)
Il ciclo di seminari di Storia Economica prevede quattro incontri di due ore ciascuno dedicati all’approfondimento della metodologia della ricerca storica, con particolare attenzione ai seguenti snodi tematici:
• Traditional sources;
• Innovative sources;
• The comparison;
• Interdisciplinarity.
Attendance entails credits’ acquisition.
- Seminars for the deepening of data analysis techniques for social sciences (first and second year)
Prof. Annalisa Pelosi
The Statistics course of the Parma University PhD in Neuroscience is open to students of the PhD in Economics and Management of Innovation and Sustainability. The course provides theoretical and applicative tools for statistical techniques in General Linear Model (GLM) and extensions most frequently used in psychobiological and cognitive neuroscience research. The lessons will be practical: for each topic ad hoc data frames will be provided, and the analysis conducted in the classroom using R Core Team (2020). There will be focus on the research areas of primary interest for current students. Contents:
- General Linear Models;
- Relationship models using quantitative variables: zero and higher order correlation, multiple linear regression, path analysis;
- Relationship models between continuous variables and nominal / categorical variables: Variance analysis (factorial designs, repeated measures, mixed models);
- Relationship models between categorical variables (Generalized Linear Model): Poisson and logistic regression (binary and multinomial);
- Robust analysis and non-parametric tests.
Attendance entails credits’ acquisition.
