Mathematical methods for Economics

WELCOME TO THE ONLINE MASTER IN ECONOMICS AND FINANCEThe online Master's degree in Economics and Finance (MEF) provides students with theoretical knowledge in economics and finance. It also equips them with the tools for data analysis and model simulation used in both industry and academia.This program offers a diverse range of graduate-level courses encompassing finance, microeconomics, macroeconomics, mathematics, and econometrics. Elective courses are categorized into two distinct tracks: Financial Markets and Economic Policy.The fully online format provides the flexibility to balance your studies with work commitments, and fosters connections with instructors and peers from the convenience of your chosen location.Drawing on 30 years' experience and expertise delivering an on-campus master's program in Economics and Finance at the Department of Economics and Statistics, University of Naples Federico II, our online program promises a rich and enriching educational experience.Enrolment for the Master’s program is now closed.If you are already enrolled, please log in using your credentials.      

The course covers the pillars of data analysis and statistical modeling, focusing on applications in social sciences, particularly economics and finance, and exploring the main ingredients of econometrics at an intermediate level. Emphasis is put on conceptual issues as well as technical and practical issues. All methods are shown from both the methodological and the computational perspectives. Computing is performed using the R computing language. Practical strategies are constantly introduced and motivated based on rigorous methodological and mathematical treatment. Estimation and inference are based on the least square method. In addition, the finite sample inference is covered based on the Gaussian error assumption. Both classical and modern model validation techniques are explored with a particular emphasis on the predictive viewpoint, which is central to modern data science. 

The objective of the course is to equip the students with the analytical tools to understand Microeconomics: the study of economic activity including individuals and firms from the point of view of individual decision-making units. The course is foundational for a broad range of other subjects in Economics and as such highly abstract and fairly demanding from a mathematical point of view.This course will begin with the analysis of individual preferences, and then proceed to models of consumer behavior, including labor supply decisions. Multiple individual consumers will then be considered to form a “pure exchange economy.” The existence of equilibrium in these economies will then be discussed, together with their welfare and distributional properties.This course is part of the "Market Analysis" Program. If you wish to follow this course, you need to enrol via the Program at this link. 

This course will introduce you  to Game Theory provide you with tools to formally analyze both static and dynamic strategic interaction among economic agents with numerous applications to practical economic problems. Our focus will be on games of complete information — i.e., environments where all relevant elements of the interaction are known to all players involved. First, you will learn how to formally represent simultaneous moves games in strategic form and how to analyze them using the notions of dominant, dominated and mixed strategies, as well as the celebrated concept of Nash equilibrium.  You will learn how to formally represent dynamic games in extensive form and how to analyze them through backward induction and using the notion of subgame perfection. Finally, you will learn how to analyze both finitely and infinitely repeated games and how to use them to investigate collusion. By the end of the course, you will be able to construct and analyze rigorous models that describe situations of conflict and cooperation among rational decision makers.This course is part of the "Market Analysis" Program. If you wish to follow this course, you need to enrol via the Program at this link.