ECON 7010 - Econometrics 1: Course Outline
Course Info
| Instructor | Time | Days | Location | CRN | Office Hour |
|---|---|---|---|---|---|
| Ryan Godwin | 1:00 pm - 2:15 pm | TR | TIER 214 | 22341 | Tuesday, 2:45 - 3:45 |
email: ryan.godwin@umanitoba.ca
office location: 646 Fletcher Argue
Course Description
The principal objective of this course is to provide a basic introduction to econometric theory and its application. Much of the emphasis of the course is on the single-equation linear multiple regression model, under both standard and non-standard assumptions. We will be considering some of the merits and weaknesses of traditional methods of inference in the context of this model. This course is also concerned with some of the very basic approaches to identifying and handling violations of the assumptions associated with the specification of the classical multiple regression model, and some of its extensions. The course will conclude with a different estimation method: Maximum Likelihood.
Recommended Textbooks
The course notes that I have written are available here.
Recommended Textbooks
- Davidson & MacKinnon, Econometric Theory & Methods
- Greene, Econometric Analysis
- Stock, J. H. & Watson M. W., Introduction to Econometrics 3rd Edition
- Godwin, Introduction to Econometrics (introductory – undergraduate level)
Course Website
rtgodwin.com/7010
Evaluation
| Assessment | Weight A | Weight B |
|---|---|---|
| Assignments | 15% | 15% |
| Midterm Exam (October 22) |
30% | 20% |
| Final Exam | 55% | 65% |
Grade is calculated under both A and B, the maximum is automatically chosen.
Assignments
There will be 5 assignments, each worth 3% of your grade. You will use RStudio and work with data in order to complete your assignments. All assignments must be completed independently.
Midterm and Final
These will be closed book exams. The midterm will take place in the regular class room/time. The final exam will be scheduled by the university. The final exam is cumulative.
Grading
Each piece of assessment in the course will be graded on a percentage scale, according to a grading scheme. The percentage marks will then be weighted, as above, into a single numerical score that will be converted to a letter grade as follows:
| F | D | C | C+ | B | B+ | A | A+ |
|---|---|---|---|---|---|---|---|
| 0% - 50% | 50% - 57% | 57% - 64% | 64% - 71% | 71% - 78% | 78% - 84% | 85% - 92% | 92% - 100% |
Students appealing any term work (including, assignments, midterm, final exam) whether it be an informal or formal appeal must appeal their term work within 10 working days of receiving their mark. All final grades are subject to departmental approval.
A missed assessment will result in make-up work, or reweighting of your grade.
Nov. 19, 2024, is the last day for voluntary withdrawal from the course.
Academic Integrity
- All assignments and exams must be completed independently.
- Do not engage in “contract” cheating.
- Do not provide your UM Learn login information to anyone else. This is “personation”, a serious form of academic misconduct.
Ignorance is not a defense. Familiarize yourself with section 2.5 of Academic Misconduct Procedures.
I own the copyright to all course content. Sharing my content (e.g. on Course Hero) is illegal!
All course material is copyrighted by Ryan Godwin, 2022. No audio or video recording of this material, lectures, or presentations is allowed in any format, openly or surreptitiously, in whole or in part without permission of Ryan Godwin. Course materials are for the participant’s private study and research, and must not be shared. Violation of these and other Academic Integrity principles, will lead to serious disciplinary action.
Statement of Academic Integrity / Misconduct from the U of M
Academic integrity is the commitment to upholding the values of honesty, trust, fairness, respect, responsibility and courage in all scholarly activities (International Center for Academic Integrity (ICAI), 2013). Academic misconduct is any violation of the principles of academic integrity.
Students should acquaint themselves with the University’s Student Discipline Bylaw and related Procedures on academic misconduct (see Section 2.2.1) found in the Academic Calendar. Ignorance of the regulations and policies relating to academic misconduct is not a valid excuse for violating them.
The Faculty of Arts and The University of Manitoba regard acts of academic misconduct in course work and final exams as serious offences and may assess a variety of penalties depending on the nature of the infraction.
Acts of academic misconduct include, but are not limited to:
- Plagiarism
- Duplicate submission
- Cheating on quizzes, tests, and exams , including possession of unauthorized materials such as cell phones, smart watches, PDAs, MP3 units, or electronic translators
- Inappropriate Collaboration
- Academic Fraud
- Personation
Generative AI (ChatGPT)
Students are encouraged to make use of technology, including generative artificial intelligence (ChatGPT) tools to contribute to their understanding of course materials. However, students are ultimately accountable for the work they submit to be assessed and assigned grades.
Tentative Course Topics
- Basic Multiple Regression
- Algebraic/geometric properties of least squares (LS)
- Finite sample properties of LS
- Hypothesis Tests
- Asymptotic properties of various estimators
- Instrumental variables
- Multiple hypothesis testing
- Non-linear relationships and NLLS
- Heteroskedasticity
- Autocorrelation and time series
- Maximum likelihood
- Bootstrap
Student Accessibility Services
Students with disabilities should contact Student Accessibility Services to facilitate the implementation of accommodations, and meet with me to discuss the accommodations recommended by Student Accessibility Services.
Regulations Regarding the Retention and Disposal of Term Work Information regarding the breakdown of grades assigned to a student in a given course (i.e., grades assigned for term work, class participation, final examination, etc.) must be retained by the instructor and/or the respective department for three years following the end of term in which the course was taken. No student will be permitted to submit term work for assessment to the instructor (and term work should not be returned to students) by any means which allows unrestricted and unauthorized public access to the term work. For example, term papers, term tests or other written assignments should not be received or returned from a box outside the instructor’s office door, but a student could provide a self-addressed stamped envelope for return of the term work. Unreturned term work must be kept in a secure and confidential department area for a minimum of four (4) months following the end of the course and until destroyed by confidential measures. The Final day of the University’s Final Examination period each term is considered as the last day of the term. Instructors shall include on their course outlines a statement to the effect that unreturned term work will become the property of the Faculty of Arts and will be subject to confidential destruction.