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2024/2025  BA-BHAAV1016U  Quantitative Methods

English Title
Quantitative Methods

Course information

Language English
Course ECTS 7.5 ECTS
Type Elective
Level Bachelor
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 200
Study board
Study Board for BSc in Economics and Business Administration
Course coordinator
  • Morten Lau - Department of Economics (ECON)
Main academic disciplines
  • Finance
  • Statistics and quantitative methods
  • Economics
Teaching methods
  • Blended learning
Last updated on 09-02-2024

Relevant links

Learning objectives
The course will provide students with a practical understanding of basic statistical models and methods in data analysis. To obtain a top grade, students are required to have a good understanding of the main concepts and topics in applied econometrics that are covered in the course. This includes the ability to:
  • Demonstrate knowledge of concepts, models, methods, and tools in applied econometrics.
  • Evaluate empirical studies by others.
  • Implement econometric analyses in practice.
Quantitative Methods:
Exam ECTS 7,5
Examination form Written sit-in exam on CBS' computers
Individual or group exam Individual exam
Assignment type Written assignment
Duration 4 hours
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Aids Limited aids, see the list below:
The student is allowed to bring
  • USB key for uploading of notes, books and compendiums in a non-executable format (no applications, application fragments, IT tools etc.)
  • Any calculator
  • In Paper format: Books (including translation dictionaries), compendiums and notes
The student will have access to
  • Access to Canvas
  • Access to the personal drive (S-drive) on CBS´ network
  • basic IT application package
Make-up exam/re-exam
Same examination form as the ordinary exam
The number of registered candidates for the make-up examination/re-take examination may warrant that it most appropriately be held as an oral examination. The programme office will inform the students if the make-up examination/re-take examination instead is held as an oral examination including a second examiner or external examiner.
Description of the exam procedure

The written exam is preceded by a 48-hour preparatory period where students are undertaking data analysis. Results from the data analysis are subsequently used in the 4-hour written exam.

Course content, structure and pedagogical approach

In economics and finance there are three important factors that affect people’s choices: How people like or dislike risks, how patient they are and what expectations they have about the future. Understanding how to measure and estimate these three factors help us answer practical and relevant questions such as:


How do you measure and elicit individual attitudes to financial risk and time delay of income that help explain why people save or don’t save for later consumption? Are women more patient and more averse to taking risk in financial decisions than men which could translate into a wealth gap? Are men more overconfident than women in investment decisions? Do people over- or underinvest in companies that score highly on environmental and societal responsibility (ESG) metrics?


The objective of the course is to provide bachelor students with the necessary statistical tools to answer such type of questions. The course will focus on applied aspects of econometrics, as opposed to theoretical aspects. We will use data from surveys, experiments and market data to develop students’ competences in quantitative methods. The course is designed to target students who intend to conduct empirical analysis during their undergraduate and graduate study programs, and in their professions.


The course will focus on various applications of basic statistical models. Throughout the course emphasis will be placed on the qualitative and quantitative understanding of statistical models. That is, how can you translate a qualitative research question into a quantitative model and make inferences? A recurring theme during the course is the distinction between correlation and causation. Despite this simple distinction much of the difficulty in econometrics stems from the desire to make causal inferences from observational data. 


To illustrate the statistical models, we will also be using applications that are relevant to popular topics in Behavioral Economics and Finance. The course will thus provide students with statistical models to understand behavioral biases in conjunction with asset valuation, among other things.

Description of the teaching methods
Teaching is interactive and students are expected to actively participate in discussions during class. There is an even split of lectures and exercise classes which all take place in computer rooms. Teaching is based on an applied approach, where students first are introduced to a specific topic followed by exercises and practical examples.
Feedback during the teaching period
The course offers continuous feedback to students during lectures and exercise classes as well as office hours. Feedback includes discussions of topics and empirical examples in class, and lectures and exercise classes provide plenty of opportunities for questions and discussions. Continuous feedback is a key component of teaching and learning activities in the course.
Student workload
Preparation / exam 170 hours
Lectures 24 hours
Exercises 24 hours
Expected literature

Stock, J. H. and Watson, M., Introduction to Econometrics, Global Edition, 4th edition (Pearson Education, 2019); and academic papers relevant to the various topics in the course.

Last updated on 09-02-2024