Empirical quantitative methods

Panel data for banking sector analysts

Home - Panel data for banking sector analysts

GROUP DISCOUNT (-15%)

10/03/2025 - 11/04/2025

Location

Online

Download the programme

Click here to download

Registration Deadline

05/03/2025

Level

Advanced, Intermediate

Approach

Quantitative

Delivery mode

Online

This course provides a comprehensive introduction to panel data analysis, with a focus on micro-econometric applications featuring large cross-sectional datasets. It also explores advanced techniques and extensions relevant to practitioners and researchers.

Key topics include common estimators—random effects, fixed effects, and first differencing—with an emphasis on robust inference and specification testing. The course further delves into advanced methods, such as handling heterogeneous slopes and trends, instrumental variables techniques, and the estimation of dynamic models. Fixed effects estimation and inference for datasets with a large number of time periods, applicable to more aggregated data, are also explored.

Participants will learn how to address challenges associated with unbalanced panels and test for non-random sample selection. Time permitting, the course will introduce nonlinear models for binary and nonnegative outcomes.

The statistical package STATA* will be used throughout the course to demonstrate practical applications of these methods, including case studies in the banking sector.

Topics covered:

Random Effects, Fixed Effects, First Differencing
Robust Inference and Robust Specification Tests
Instrumental Variables
Heterogeneous Trend and Slope Models
Dynamic Models
Large-T Panels
Correlated random effects approaches to panel data
Unbalanced panels and detecting sample selection problems
Nonlinear Panel Data Models

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* All participants in the course are required to use the statistical software STATA for exercises, including homework assignments and instructor-led practical sessions.

Any recent version of STATA is suitable for this course.

Each participant must independently obtain a valid STATA license, as the Florence School of Banking and Finance does not facilitate license purchases.

Temporary free STATA licenses (Evaluation licenses) can be obtained as follows:

Students: A 7-day license can be requested directly from the STATA website.
Professionals: A 30-day license can be requested through a local STATA distributor or reseller. Options include:
- For Germany, The Netherlands, Austria, Hungary, and the Czech Republic: Visit DPC Software.
- For Russia, Nordic, and Baltic countries: Visit Stata Nordic.
- For other regions, consult the list of STATA official distributors or resellers.

Disclaimer: The links provided are for reference only. The Florence School of Banking and Finance is not affiliated with any distributor or reseller.

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.

Time required from participants: 20 hours

Jeffrey Wooldridge

View Jeffrey Wooldridge profile

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 TA-led Office hours

20 March

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

25 March

15:00 – 17:00 TA-led 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 TA-led Office hours

10 April

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

11 April

End of the course

FULL FEES*:

€ 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.

GROUP DISCOUNT (-15%) for minimum 3 participants from the same institution:

The below group discount applies to 3 or more participants who register for the same course from the same institution. Those wishing to take advantage of the group discount must write an email to fbf@eui.eu, stating the full names of the proposed participants.

€ 722,5 – Group discount academic
€ 977,5 – Group discount public sector
€ 1062,5 – Group discount private sector

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.