BMAC8101 - Empirical Banking - Methods and Applications


Lessons are not given in the academic year 2021/2022

Course content

The objective of this course is to read and understand scientific papers in empirical banking. To accomplish this objective, emphasis is placed on illustrating basic research methodologies used in empirical banking and learning the application of these methodologies to selected topics. The research methods that are specifically discussed in the class are cross-sectional research methods and the inter-temporal event study methodology. The topics that are covered include (but are not limited to) applications of Discrete Choice, Multinomial Logit, Duration, Simultaneous Equations and Event Study Methodology, and as an area of particular interest the Geography of Banking. It is evident that any empirical research should be based on theoretical foundations. All students are therefore expected to have an active interest in banking theory. Opportunities are offered during the course to explore selected theoretical models upon which empirical applications are based. Course outline: * Introduction and Policy Evaluation * Heteroskedastic Modelling * Duration Analysis and Applications * Matching and Difference in Difference and Applications * Event Studies and Applications * Within Estimation and an Application to Islamic Banking

Learning outcome


After the course, student will have first-hand knowledge of methodologies used in contemporary empirical banking. 


  • At the end of the course, students will develop analytical skills from the critical assessment of related articles. 
  • Writing skills: students will be able to interpret their results in the group paper. 


After the course, students will be able to select and apply suitable econometric models to their own research in the area banking.

Learning methods and activities

Classical teaching lectures will be combined with interactive discussions of relevant literature.

Further on evaluation

The examination consists of an essay based on group works. Students team up to study one or more relevant papers and summarize the main contributions as well as critical assess the underlying models and assumptions.

Required previous knowledge

Master-level econometrics (Business, Economics).

More on the course



Version: 1
Credits:  3.0 SP
Study level: Doctoral degree level



Language of instruction: English

Location: Trondheim

Subject area(s)
  • Business Economics
  • Financial Economics
  • Economics and Administration
  • Economics
  • Management Accounting and Control
Contact information

Department with academic responsibility
NTNU Business School


  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

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