Courses Bachelor Display 2022-2023
|Course Description||To PDF|
|Course title||Introduction to Software in Econometrics|
For more information: email@example.com
|Language of instruction||English|
1. The student will learn to model simple econometric problems in the Bayesian framework.
2. The student will learn how to implement simulation-based Bayesian inference procedures for standard econometric models in the statistical programming software R and how to interpret estimation results.
3. The student will learn how to assess the appropriateness and accuracy of different simulation methods in different examples.
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. A RE-EMERGENCE OF THE CORONAVIRUS AND NEW COUNTERMEASURES BY THE DUTCH GOVERNMENT MIGHT FORCE COORDINATORS TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.
Students will learn basic principles of Bayesian inference in econometrics focusing on computational techniques. They will acquire the skills to implement simulation based Bayesian inference procedures for standard econometric models in the statistical programming software R. Being able to implement and apply simulation based statistical methods is fundamental for the application of Bayesian methods to econometric problems.
Econometric Methods 1 (EBC2111)
|Teaching methods (indicative; course manual is definitive)|
|Assessment methods (indicative; course manual is definitive)|
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|This course belongs to the following programmes / specialisations||