Published Jan 16, 2024
The main purpose of this course is to provide students with the methodological tools that underlie dynamic equilibrium analysis of the macro-economy.
The main purpose of this course is to provide students with the methodological tools that underlie dynamic equilibrium analysis of the macroeconomy. In the Winter 2024 version of ECON 602, we will formally analyze the basic models used in modern macroeconomic theory and their applications to the study of various economic issues. Topics covered will include recursive methods, asset pricing, growth, business cycles, and markets with frictions.
Apply recursive methods to solve dynamic economic models |
Explain and interpret asset prices |
Summarize the stylized facts related to economic growth and business cycles |
Advance an economic model of a frictional market |
Lecture slides and other course materials will be posted on LEARN. The course is divided into six topics that each span about two weeks (see Course Outline below for the list of topics and approximate dates). Students should check LEARN regularly for course materials and announcements.
Course Outline | |||
Module | Week | Topic | Readings |
1 | 1 | Recursive Methods I | LS ch. 3 & 4; K ch. 4 & 5; M ch. 5, 6 & 7 |
2 | Recursive Methods II | ||
2 | 3 | Competitive Equilibrium I | LS ch. 8 & 12; K ch. 2; M ch. 13 |
4 | Competitive Equilibrium II | ||
3 | 5 | Asset Pricing I | Supplementary Materials |
6 | Asset Pricing II | ||
Reading Week | |||
4 | 7 | Growth I | K ch. 3; M ch. 14 |
8 | Growth II | ||
5 | 9 | Real Business Cycles I | K ch. 6; Supplementary Materials |
10 | Real Business Cycles II | ||
6 | 11 | Markets with Frictions I | LS ch. 6, 29, & 30; Supplementary Materials |
12 | Markets with Frictions II |
Title / Name | Notes / Comments | Required |
---|---|---|
Krueger, Dirk (2013). “Macroeconomic Theory,” | unpublished manuscript | No |
Ljungqvist, Lars and Thomas J. Sargent (2018). “Recursive Macroeconomic Theory,” | Fourth Edition, MIT Press, Cambridge, MA. | No |
Jianjun Miao (2014). “Economic Dynamics in Discrete Time,” | MIT Press, Cambridge, MA | No |
Component | Value |
---|---|
Problem Sets | 30% |
Midterm Exam | 30% |
Final Exam | 40% |
Problem Sets. Several (approximately five) problem sets related to course material will be assigned during the course. Each student must complete the problem sets independently. We will use the dropbox feature on LEARN for submitting solutions to the assigned problem sets. You can submit typed or handwritten solutions, but please (i) submit all your work in one document (PDF or MS Word), (ii) check that the pages are in the correct order and properly oriented, (iii) ensure that your work is legible, (iv) double-check and re-submit if you do not receive the Email Confirmation Receipt, and (v) keep all your Email Confirmation Receipts until the end of the course as proof of submission. Late submissions will not be accepted without a self-declared absence or VIF – missing a deadline will result in a grade of zero. A deadline extension may be used to accommodate a self-declared absence or VIF.
Midterm and Final Exams. Exams will draw on material covered in the lectures and assigned readings. The midterm and final exams are closed-book exams. The final exam will emphasize the post-midterm material. A deferred exam may be used to accommodate a self-declared absence or VIF. The midterm exam will be held in class on Tuesday, February 13th.
No assignment screening will be used in this course.
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Students should be aware that this course contains the intellectual property of their instructor, TA, and/or the University of Waterloo.
Intellectual property includes items such as:
Course materials and the intellectual property contained therein, are used to enhance a student’s educational experience. However, sharing this intellectual property without the intellectual property owner’s permission is a violation of intellectual property rights. For this reason, it is necessary to ask the instructor, TA and/or the University of Waterloo for permission before uploading and sharing the intellectual property of others online (e.g., to an online repository).
Permission from an instructor, TA or the University is also necessary before sharing the intellectual property of others from completed courses with students taking the same/similar courses in subsequent terms/years. In many cases, instructors might be happy to allow distribution of certain materials. However, doing so without expressed permission is considered a violation of intellectual property rights.
Please alert the instructor if you become aware of intellectual property belonging to others (past or present) circulating, either through the student body or online. The intellectual property rights owner deserves to know (and may have already given their consent).
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Generative artificial intelligence (GenAI) trained using large language models (LLM) or other methods to produce text, images, music, or code, like Chat GPT, DALL-E, or GitHub CoPilot, may be used for assignments in this class with proper documentation, citation, and acknowledgement. Recommendations for how to cite GenAI in student work at the University of Waterloo may be found through the Library: https://subjectguides.uwaterloo.ca/chatgpt_generative_ai. Please be aware that generative AI is known to falsify references to other work and may fabricate facts and inaccurately express ideas. GenAI generates content based on the input of other human authors and may therefore contain inaccuracies or reflect biases.
In addition, you should be aware that the legal/copyright status of generative AI inputs and outputs is unclear. Exercise caution when using large portions of content from AI sources, especially images. More information is available from the Copyright Advisory Committee: https://uwaterloo.ca/copyright-at-waterloo/teaching/generative-artificial-intelligence
You are accountable for the content and accuracy of all work you submit in this class, including any supported by generative AI.
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Important notes
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Undergraduate Studies Calendar | University of Waterloo (uwaterloo.ca)
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Turnitin.com: Text matching software (Turnitin®) may be used to screen assignments in this course. Turnitin® is used to verify that all materials and sources in assignments are documented. Students' submissions are stored on a U.S. server, therefore students must be given an alternative (e.g., scaffolded assignment or annotated bibliography), if they are concerned about their privacy and/or security. Students will be given due notice, in the first week of the term and/or at the time assignment details are provided, about arrangements and alternatives for the use of Turnitin in this course.
It is the responsibility of the student to notify the instructor if they, in the first week of term or at the time assignment details are provided, wish to submit alternate assignment.