This document includes a summary of what we have covered throughout the semester as well as some information on how you can revise for the final exam.
Closer to the exam period, I will send out some sample questions to help you practice for the exam. This will not be a comprehensive practice exam but it will just include some sample exercises. Keep in mind that your primary source of exam revision should be the materials that are already posted on the Moodle page.
Closer to the exam period, I will hold a revision session to help you prepare for the final exam. The date and time for this session will be announced later in the Spring semester (you will receive a notification about it).
Exam questions will look very similar to all the examples on your lectures slides/notes and review exercises. These exercises and examples (and solutions) are already all available on the Moodle page. All the lecture slides/notes and review exercises should be your starting point for revising for the exam. If you want to be well-prepared for the exam, it is important that you have a good grasp of the materials we covered during the term.
The exam dates have not been announced yet, but you will be notified in due course.
The best way to prepare for the final exam is to go over the materials posted on your Moodle page. Below is a list of all the contents and posted materials for each lecture we have covered during the semester. You can use this as a guide.
Revise
Lecture 1 Slides: Probabilities, Expectations and Moments
Solve Review Exercises
Textbook reference: Stock and Watson Chapters 1-2.
Revise Lecture 2 Slides: Inference
Solve Review Exercises
Textbook reference: Stock and Watson Chapter 3.
Revise Lecture 3 Slides: OlS Assumptions
Revise Lecture 3 Notes: OLS Theory
Solve Review Exercises - Part I-II
Revise Matrix Algebra Review - Part I-II (especially
if you are having difficulty with following the derivations related to
linear algebra in the review exercises).
Solve Matrix Algebra Exercises
Lecture 4 Slides: Panel Data and Fixed Effects EstimationRevise
Lecture 5 Slides: Binary Choice Models
Revise
Lecture 5 Slides: Maximum Likelihood Estimation
Revise
Review of Probability Distribution Functions
Solve
Review Exercises - Binary Choice Models
Revise
Lecture 6 Slides: Extremum Estimators
Revise
Lecture 6 Notes: ML Estimation for OLS Parameters
Revise Review Exercises
Revise
Lecture 7 Slides: Econometric Insights (Part I)
Revise
Lecture 7 Slides: Econometric Insights (Part II)
Revise
Lecture 7 Slides: Econometric Insights (Part III)
Revise
Lecture 8 Slides: Econometric Estimation Pitfalls
Solve Review Exercises 1
Solve Review Exercises 2
The exam will consist of a section with multiple choice questions and a section with short-answer questions.
The questions will look very similar to the example problems we have seen in our slides and the problems in the review exercises.
The short-answer questions can: