The course is an introduction to time series analysis. The goal of the course is to provide students with the foundational concepts of time series econometrics and the knowledge of some popular time series models.
Teaching Faculty
Do you want to learn the basics of Time Series Analysis or need a refresher of your knowledge?
This course is designed for:
Anyone interested in Time Series Analysis.
BSE Macroeconometrics Summer School participants who need to review key concepts.
Delve into core principles of time series econometrics and widely used models for time series analysis.
Upon completion of this course, you will:
Understand the fundamental concepts of Autoregressive (AR) and Moving Average (MA) models.
Develop the ability to estimate AR and MA models using likelihood-based methods.
Gain proficiency in applying and estimating Vector Autoregressive (VAR) and Vector Moving Average (VMA) models for multivariate time series analysis.
Explore the properties and estimation techniques of the likelihood function in both AR/MA and VAR models.
Acquire foundational knowledge in Bayesian econometrics methods and how they apply to model estimation and inference.
Program Syllabus for Introduction to Time Series Analysis course
Here is a brief outline of what we will cover during the course
Course outline
Preliminary Concepts.
Autoregressive (AR) and Moving Average (MA) models.
Likelihood function and the estimation of AR and MA models.
Introduction to Vector Autoregressive (VAR) and Vector Moving Average (VMA) models.
Likelihood function and the estimation of VAR models.
Bayesian econometric preliminaries.
Software / Hardware
Participants must bring their own laptop to participate in the practical sessions.
Why join our Summer School?
All BSE Summer courses are taught to the same high standard as our Master’s programs. Join us to:
1
Network with like-minded peers.
2
Study in vibrant Barcelona.
3
Learn from world-renowned faculty.
Admissions and requirements
Participants must check they are eligible to take the course before applying.
Program date: June 23 - June 27
Early bird deadline: April 15, 2025
Requirements
Summer School applicants normally demonstrate one or more of the following:
A strong background in Economics or a field closely related to the course topic (Statistics, Law, etc.).
Postgraduate degree or current Master’s/PhD studies related to the course topic.
Here is your schedule for this edition of BSE Macroeconometrics Summer School Introduction to Time Series course
Time
23
mon
24
tue
25
wed
26
thu
27
fri
13:30 - 15:30
Lecture
16:30 - 18:00
Practical
Credit transfers (ECTS)
To be eligible for credit transfer, students must complete a final project.
Students will deliver a short final project one week after the summer school finishes. It will consist of solving a final problem that will include the practical and empirical issues worked on in class.
Participants not interested in credit transfer will instead receive a Certificate of Attendance free of charge. These Participants will not be graded or assessed during the course.