Module code: ECN224
Credits: 15.0
Semester: SEM1
Contact: Dr Stepana Lazarova
Prerequisite: Before taking this module you must take ECN121 or take MTH4116 or take MTH4600
This module builds on students' understanding of statistics to introduce them to the theoretical and practical principles of elementary econometrics. There are three main objectives: to provide a solid grounding in the theory and practice of simple and multiple regression analysis; to introduce students to the problem of omitted variable bias and to possible solutions, such as instrumental variable methods and randomised controlled trials; and to teach students how to implement these methods on real-world data using the software package R.
Connected course(s): UDF DATA
Assessment: 80.0% Examination, 20.0% Practical
Level: 5
