Course ObjectiveContemplate the links between notions of probability and inference.
Stimulate thinking of economic data as realization of random variables.
Learn how to make use of the information contained in the data. Practice
how to implement tests and simulations using matrix-oriented software.
Study how to present results.
Course Content• Practice implementing exercises in software in a matrix-oriented
• Think about presentation in writing and wording: What is important for
audience, what does it mean to be complete, clear, concise, and
• Revisit the notions of conditional density and conditional expectation
and explore their role in inference.
• Revisit the Law of Large Numbers (LLN) and the Central Limit Theorem
(CLT) and explore their role in approximate inference.
• Understand the role of the random sample assumption in the LLN and
CLT, and discuss its adequacy in economics.
• Explore relationships between random variables.
Teaching MethodsLectures, practicals, question hours
Method of AssessmentAssignments, presentation.
LiteratureSlides and relevant articles
Target AudienceBachelor students EOR/EDS
Recommended background knowledgeKnowledge of analysis, probability theory and statistics at the first
year bachelor level.
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||dr. C.S. Bos|
|Examiner||dr. C.S. Bos|
dr. H.E.D. Houba
dr. C.S. Bos
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Lecture, Computer lab|
This course is also available as: