This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS).
SENSS Specialist Training: Panel Data and Factor Model for Social and Economic Research
Instructor: Prof. Giovanni Urga (Bayes Business School)
Term: Autumn 2025
Module Outline and Aims
There is huge body of literature applying panel data techniques using firm-level, consumer, stock market and banking data. In this course, we will present most important panel data techniques for stationary and nonstationary panels. We will discuss the importance of modelling heterogeneity and we will discuss static and dynamic models, introducing the crucial distinction between fixed and random effects. The course will also provide a short introduction to both factor models and principal components. Practical applications using economic and financial (stocks, interest rates) and banking (accounting) datasets will be delivered using Stata, which is the most comprehensive econometric software for dealing with panel data analysis.
Prerequisites
Students are expected to have a knowledge of statistics (descriptive and inference) and basic econometrics.
Software
Participants will use Stata19 during the session. Participants are required to be familiar with the software and have it installed .
Content Outline
Learning Objectives
Main References
A list of relevant papers will be provided at the beginning of the course. The following textbooks are recommended:
Please ensure you meet the prerequisites before registering.
Sign up form: https://essex.eu.qualtrics.com/jfe/form/SV_1KQfEPArrCX6fCm
Please direct enquiries to: trainingmanager@senss-dtp.ac.uk
https://essex.eu.qualtrics.com/jfe/form/SV_1KQfEPArrCX6fCm