Introduction to Panel Data Analysis

The Melbourne Institute is Australia’s pre-eminent economic and social policy research centre. For 60 years world-class economists have conducted rigorous, independent research and analysis, providing an evidence base for effective policy reform.It is renowned for the long-running Household, Income and Labour Dynamics in Australia (HILDA) Survey and Consumer Attitudes, Sentiments and Expectations in Australia (CASiE) Survey, and more recently Taking the Pulse of the Nation which provides timely insight into Australians' sentiments and behaviours related to current economic and social issues.The Melbourne Institute analyses provide depth and rigour to help solve some of the most pressing and complex issues affecting ordinary Australians, striving to advance opportunity, equity and prosperity for our nation.The University of Melbourne and Eventbrite collect your personal information to manage your registration and  contact you regarding this event. Your information may also be used by the University and Eventbrite for analysis, quality assurance and planning purposes. For further information please visit theUniversity of Melbourne’s websiteandEventbrite’s Privacy Policy.

Melbourne Institute

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A 4-day hands-on introductory course on panel data analysis will be held in Melbourne on 20-23 June 2022.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:<ul><li>Longitudinal descriptive statistics, such as cross-wave correlations, conditional means and transition probabilities</li><li>Regression analysis, including using pooled data, or cross-sectional techniques using lagged data</li><li>Instrumental variables in panel data</li><li>First-differences</li><li>Second- (and longer) differences</li><li>Fixed effects</li><li>Random effects</li><li>Binary response models</li><li>Categorical response models</li><li>Difference-in-differences</li></ul>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 18 datasets prior to the course. The course will take several published papers using the HILDA Survey data with a view to reproducing some of the estimates presented by the authors. The course will be taught in Stata.Course InstructorThe 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-requisitesTo participate in this course, you will need to:<ul><li>Apply for and be approved to use HILDA General Release 18</li><li>Have completed the <a href="https://www.eventbrite.com.au/e/getting-started-analysing-hilda-with-stata-tickets-315039781467" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Getting Started: Analysing HILDA with Stata course</a> OR have experience with the HILDA Survey data and be familiar with Stata</li><li>Be familiar with regression theory</li></ul>Places are limited. Registrations close 5pm Thursday 9 June 2022 unless all of the places are taken earlier. Cancellations after 5pm Thursday 9 June 2022 will not be refunded.If you would like to receive notifications of future training courses, please subscribe to the <a href="https://melbourneinstitute.unimelb.edu.au/hilda/for-data-users/email-list" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">HILDA mailing list</a>.

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Introduction to Panel Data Analysis

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Introduction to Panel Data Analysis

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