Panel data for banking sector analysts

• Apply random effects, fixed effects, first differencing, and instrumental variables versions to estimate basic linear panel data models using Stata.
• Conduct robust specification tests to evaluate and select the most appropriate estimation methods.
• Analyze the impact of additional heterogeneity in panel data models and justify the choice of estimation methods based on model complexity.
• Address the unique challenges of large-T panel data sets and implement effective solutions in Stata.
• Identify the implications of unbalanced panel data and devise strategies to mitigate their effects.
• Evaluate pooled and joint estimation methods for nonlinear models and develop tailored approaches to balance trade-offs based on specific contexts.

This course combines self-paced learning with interactive live online sessions, providing a flexible and engaging experience accessible directly from your own devices.

In the first phase, participants will progress through video lectures at their own pace, complemented by small work assignments designed to reinforce theoretical concepts through practical application.

The second phase features live online lab sessions, where participants will engage in hands-on exercises using Stata. These sessions are led by the course instructor and supported by teaching associates to provide real-time guidance and support.

The format emphasizes interaction and collaboration, with ample opportunities for Q&A and peer engagement. Participants will benefit from personalised feedback and close support from instructors and teaching assistants throughout the course.

10 March

Start of the course
Access to all course modules

11 March

15:00 – 16:30 Welcome class

13 March

15:00 – 17:00 Office hours

20 March

15:00 – 17:00 First live class: recap of modules 1-6 + Q&A

25 March

15:00 – 17:00 Office hours

27 March

15:00 – 17:00 Second live class: recap of modules 7-16 + Q&A

3 April

15:00 – 17:00 Third live class: Lab 1
17:00 – 18:30 Office hours

10 April

15:00 – 17:00 Fourth live class: Lab 2

11 April

End of the course

FULL FEES, applicable from 31 January 2025 onwards*:

• € 850 – Academics
• € 1150 – Public sector
• € 1250 – Private sector

*Please note that the payment must be settled one week before the start of the course.

Please submit a certificate attesting your status of Professor, PhD Student or Research Associate to fbf@eui.eu before registering. FBF secretariat will provide you with a code to register. Seats for academics are limited.

EARLY BIRD DISCOUNT (-15%), applicable until 30 January 2025 COB:

Participants are eligible for the below early bird discount if they register and pay by 30 January 2025. Please note that those who wish to pay a reduced fee for academics must send proof of academic status to fbf@eui.eu in order to verify their eligibility.

• € 722,5 – Early bird academic*/ € 850 full fee (from 31 January)
• € 977,5 – Early bird public sector / € 1150 full fee (from 31 January)
• € 1062,5 – Early bird private sector / € 1250 full fee (from 31 January)

*Please submit a certificate attesting your academic status (Professor, PhD Student or Research Associate) to fbf@eui.eu before registering. FBF secretariat will provide you with a code to register. Seats for academics are limited.

CANCELLATION POLICY

Paid registration fee is non-refundable. However, registrant substitution may be made up to 15 days before the start date of the course by contacting fbf@eui.eu.