Introduction to Panel Data Analysis

EVENT IS NOW FULLY BOOKED - Please contact Kathryn at hilda-inquiries@unimelb.edu.au if  you would like to be placed on a waiting list.

A 3-day hands-on introductory course on panel data analysis will be held on 17-19 June 2019 at the University of Melbourne.

Course information

This course is designed for people familiar with panel data, including how to clean data and set it up for analysis, but now want to understand various statistical and econometric techniques that take full advantage of the panel nature of the data. The topics covered in the course include:

• Longitudinal descriptive statistics, such as cross-wave correlations, conditional means and transition probabilities
• Regression analysis, including using pooled data, or cross-sectional techniques using lagged data
• Instrumental variables in panel data
• Panel data regression techniques:
  • First-differences
  • Second- (and longer) differences
  • Fixed effects
  • Random effects
  • Binary response models
  • Categorical response models
  • Difference-in-differences

Data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey will be used during the course and participants will be required to apply for, and be approved to use, the General Release 17 datasets prior to the course. The course will take several published papers using the HILDA Survey data with a view to re-producing some of the estimates presented by the authors. The course will be taught in Stata.

Course instructor

The course will be presented by Professor Robert Breunig, who is a researcher at the Crawford School of Public Policy at the Australian National University. His primary applied research interests are in analysing individual and firm behaviour, evaluating government tax and transfer programs and analysing large data sets.

Pre-requisites

You will have completed the “Getting Started: Analysing HILDA with Stata” course (or you will have experience using longitudinal data and be familiar with Stata). You will be familiar with regression theory. You will need to apply for, and be approved to use, HILDA General Release 17. The link for applications can be found at the DataVerse.

Registrations

Places are limited. Registrations close 5pm 6 June 2019 unless all of the places are taken earlier.

Cancellations after 5pm 10 June 2019 will not be refunded.

If you would like to receive notifications of other training courses, please subscribe to the HILDA mailing list.

Course details

Location:  198 Berkeley Street (The Spot), University of Melbourne (lab to be advised)

Date/time:  Monday 17 June to Wednesday 19 June 2019, 9.15am – 4pm

Catering:  Morning tea, lunch and afternoon tea provided

Fees (incl. GST): $900 ($600 PhD and Masters students)

Registration: The course is currently fully booked. Please contact Kathryn at hilda-inquiries@unimelb.edu.au if  you would like to be placed on a waiting list.

Cancellations:  Cancellations after 5pm 10 June 2019 will not be refunded