Course ObjectiveThe objective is to show how econometrics can be applied to empirical
questions in marketing and consumer behaviour. In particular, how to
build models to support marketing decisions. Given the current big data
revolution, models from which useful information about market behaviour
and their sensitivity to marketing activities such as advertising,
pricing, promotions and distribution are routinely used by managers
(from leading organisations worldwide) for analyzing marketing programs
that can improve brand performance. This course will introduce models
and methods, together with their use in empirical marketing studies.
Course ContentThis course focusses on quantitative methods for empirical research in
marketing and consumer behaviour. In particular, we discuss how to build
models to support marketing decisions and how to adopt data science
methods to investigate market behaviour and the impact of marketing
instruments such as advertising, pricing, promotions and distribution.
The econometric methods that are employed include regression,
multivariate statistical analysis, limited dependent variable models,
panel data models, pooled regressions, forecasting methods, and trend
Teaching MethodsLectures and classes. During classes time will be made for discussing
exercises and for supporting empirical work. Computer classes are also
Method of AssessmentFinal exam – Individual assessments
Entry RequirementsNone, but an introductory course in econometrics is highly recommended,
LiteratureReader, a selection of chapters and articles on various topics. The
econometrics is mainly based on the book "Introduction to Econometrics"
by J.H. Stock and M.W. Watson, which is also used in earlier courses.
Target AudienceThis course is part of the Minor program "Applied Econometrics: A Big
Data Experience For All".
Additional InformationThis is a 6 EC course presented in period 2 (November-December) in the
academic year. This course is part of the Minor "Applied Econometrics: A
Big Data Experience for All". It is targeted at both econometrics and
Custom Course RegistrationAs usual.
Explanation CanvasSee above.
Recommended background knowledgeIntroductory courses in econometrics and time series, similar to the
courses "Introduction to Econometrics" and "Introduction to Time Series"
from our Minor program "Applied Econometrics: A Big Data Experience For
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||prof. dr. S.J. Koopman|
|Examiner||prof. dr. S.J. Koopman|
dr. Y. Peers
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture|
This course is also available as: