Module Details

SC968-7-SP-CO: Panel Data Methods

Year: 2016/17
Department: Sociology
Essex credit: 20
ECTS credit: 10
Available to Study Abroad / Exchange Students: Yes
Full Year Module Available to Study Abroad / Exchange Students for a Single Term: No
Outside Option: No

Supervisor: Dr Renee Luthra
Teaching Staff: Dr Renee Luthra
Contact details: Michele Hall, Graduate Administrator, Telephone 01206 873051, Email:

Module is taught during the following terms
Autumn Spring Summer

Module Description

Aims of the course
This course gives students a practical grounding in the theory and methods of panel data analysis. It has the following key aims:

* To allow students to interpret and critically assess published studies using panel data
* To provide students with the skills and confidence to manipulate panel datasets on their own in the future
* To give an overview of different approaches to panel data analysis
* To develop practical skills in selecting and conducting different types of panel data analysis
* To provide an opportunity for students to compare results of analysing the same data with different panel methods
* The course includes an optional review of standard regression methods (OLS, logit and probit) and covers longitudinal data manipulation, transition matrices, continuous and discrete fixed and random effects models, and survival analysis.

Learning and Teaching Methods


Each lecture is followed by a lab-based session where students will use Stata to implement the methods covered in the lectures. Please note that this is an intensive course, and most students will need to spend one or two hours in the lab each week, in addition to these scheduled sessions, in order to cover the work.

The data used will be a subset from the British Household Panel Survey (BHPS), and the exercises will involve the sort of analysis that professional social scientists might need to undertake.

Most sessions will build on the work of a previous session; it is therefore important that students keep copies of all their do-files and outputs.

Students should already be familiar with the fundamentals of Stata, including:

* basic data management techniques
* working in interactive and batch mode
* basic analytical techniques such as OLS, logit and probit

If you are unsure about your competence in Stata, please talk to the course tutors well before the start of the course.


Optional Week 17
A review of concepts for regression modeling, or what you should know already

Week 18
Understanding and using panel data; transition matrices

Week 19
Fixed effects and random effects models

Week 20
Fixed and random effects models - properties, tests and specification issues

Week 21
Reading week

Week 22
Introduction to survival/ event history analysis

Week 23
Introduction to survival/ event history analysis


100 per cent Coursework Mark


One piece of directed applied coursework using Stata. In-Class Test: 2:00 hour in-class test in week 26

Other details

In class test: 2.00 hour in class in week 23

Other information

Compulsory for:
MA in Sociology and Panel Data Analysis


  • Please see module outline on moodle

Further information

External Examiner Information

  • Name: Prof Paul Stretesky
    Institution: The University of Northumbria at Newcastle
    Academic Role: Professor of Criminology