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2020/2021 BA-BHAAV1016U Quantitative Methods
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| Quantitative Methods |
Course information |
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| 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
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| Last updated on 25-08-2020 | |
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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 problem 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.
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| Description of the teaching methods | ||||||||||||||||||||||||||
| The course is based on a blended learning
approach with a combination of PC-based lectures and exercise
classes as well as online teaching using pre-recorded videos on
selected topics and assignments. The course is split evenly between
lectures and 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, which is a professional tool used by many government agencies and private companies. Guest lecturers may be invited to discuss empirical examples of their own work that are relevant to the topics that we discuss in class. |
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| 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 | ||||||||||||||||||||||||||
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| Expected literature | ||||||||||||||||||||||||||
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Stock, J. H. and Watson, M., Introduction to Econometrics, Global Edition, 4th edition (Pearson Education, 2019)
The textbook is supplemented with a few scientific articles that are relevant to some of the course examples. |
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