2018/2019  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 160
Study board
Course coordinator
• Morten Lau - Department of Economics (ECON)
• Methodology and philosophy of science
• Statistics and quantitative methods
• Economics
Teaching methods
• Face-to-face teaching
Last updated on 09-02-2018

Learning objectives
• Demonstrate knowledge of concepts, models, methods and tools in econometrics, corresponding to the course syllabus
• Evaluate an empirical study which another has produced
• Implement a reasonably simple econometric analysis in practice
Examination
Course content and structure

How do you measure and elicit individual attitudes to financial risk and time delay of income? Are women more patient and more averse to taking risk in financial matters than men? Are men more likely to become pathological gamblers than women? Are women more likely to smoke cigarettes than men, and if so do they smoke more per day than men? How do you elicit and estimate predictions about the likelihood of future events?

The main objective of the course is to provide students with the necessary statistical tools to answer such questions by introducing a range of statistical models and methods. The course will focus on applied aspects of econometrics, as opposed to theoretical aspects. We will use data from surveys and experiments that are designed to answer the questions above. The course is designed to target students who intend to conduct empirical analysis during their undergraduate and graduate study programs.

The course will focus on various applications of basic regression 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.

Description of the teaching methods
A combination of PC-based lectures and exercise classes are used. The course is split evenly between lecture and exercises, meaning 12x2 hours of lectures and 12x2 hours of exercises.The statistical models and methods are presented and discussed in class, as well as survey and experimental data to illustrate the quantitative methods. We will use the statistical software program Stata to estimate the statistical models. Guest lecturers may be invited to discuss empirical examples of their own work that are relevant to the topics that we discuss in class.
Feedback during the teaching period
The course seeks to offer feedback whenever possible. Lectures and exercise classes provide opportunities for questions and discussions and students are also encouraged to make use of staff office hours for further feedback