Office hours: by appointment, but typically before or after class
*: Online session on Jan 15 MLK day due to university closure
I will request your feedback periodically to reassess the list of topics above and adjust it if necessary. Any course feedback on how you think the course is evolving (including constructive criticism and suggestions) and potential additional topics to discuss in class will always be welcome.
Michael Baye and Jeff Prince, Managerial Economics and Business Strategy, 9th ed., McGraw-Hill Irwin, 2016
I may include additional materials (most likely from the FinTech industry) from time to time for class discussions. The slides will be posted on before each class, but may change afterwards depending on the actual content that was covered and discussed during class. White board derivation will constantly be adopted to supplement the slides (so please bring a notebook). Last year some students asked about the use of Connect with the textbook. Feel free to purchase Connect if you wish, but it is NOT required and no support will be provided.
Quizzes |
20% |
Midterm |
20% |
Final exam |
40% |
Case study |
10% |
Class participation |
10% |
Topics can be drawn from either one of the two sources: 1) an initial coin offering (ICO) deal of your choice with relevant information found here. 2) your own profession, or another industry that you are familiar with.
the presentation shall be done on a group base: please form a group of around 5 out of your own choice (If want to create a significantly larger or smaller group, fine too but let me know in advance). Please make sure you finish the group thing by 8th week (I'll send you reminders and more info on that). The time for the presentation is expected to be 5-10 minutes with three slides at most (this is subject to change as the final grouping outcome goes) Your analysis should clearly reflect what we learnt in class to the application of your choice. A suggested format is following:
Grading depends on the following criteria: 1) clarity: does the audience have a clear idea about your industry/firm/project after the presentation? 2) novelty: do you point out something that is unique and not something obvious to everyone? 3) relevance: do you clearly connect your argument with one of the topics we discussed in class?
I value quality over quantity: better have one well-thought, creative, and relevant point than covering everything superficially.
For Monday cohort only: depending on the tech works out, we may replace the presentation with a written memo not exceeding 1 page (single-spaced), exclusive of tables, graphs, etc. I'll let you know in due course.
Week |
Materials |
Topics |
0
|
Get ready for prerequisite math | |
1
|
homework: Chapter 1: 1, 3, 6, 10, 13, 14, 16, 23; Chapter 6: 24, 27 |
Course introduction. Opportunity cost, marginal analysis, and incentives. - Baye, Chapter 1 Organization of the firm: principal agent problem - Baye, Chapter 6 Case study: incentives in the design of Bitcoin with respect to derivatives, please see the "Derivative rules" link in Week 1. Within that document we'll only ever work with four type of functions in our course: Constant, Line, Square, and Logarithms; don't ever bother with Exponential, Trigonometry, or Inverse Trigonometry; For derivative rules we'll only need Multiplication by constant, Power Rule when n=2 (square function), Sum Rule, Difference Rule, Product Rule, and Chain Rule |
2
|
homework: Chapter 2: 1, 6, 8, 14, 16, 20, 23; Chapter 3: 2, 6, 11 |
Supply, demand, and markets. - Baye, Chapter 2 Quantitative demand analysis. - Baye, Chapter 3 |
3
|
homework: Chapter 4: 1, 2, 7, 9, 12, 17; Chapter 5: 1a, 2, 5, 6, 7, 10, 11, 12, 16, 17, 18, 20, 22 |
Consumer Behavior. - Baye, Chapter 4 The production process Baye, Chapter 5 |
4
|
homework: Chapter 12: 1, 4, 13, 15, 21, 23 |
Uncertainty and asymmetric information. - Baye, Chapter 12 Brief review (going over HW questions so far) |
5
|
Midterm exam |
|
6 |
homework: Chapter 7: 1, 7, 8 (finished before class); Chapter 10: 2, 4, 7, 8, 14, 20 |
Four-firm concentration ratio, Herfindahl Hirschman index, and four types of market structures: perfect competition, monopoly, monopolistic competition, and oligopoly (reading before class) - Baye, Chapter 7: P206-207 and P221-222 Introductory Game Theory. - Baye, Chapter 10 Overview of final case presentation |
7
|
slides (for review only; we'll mainly go with lecture problem outline in class) homework: Chapter 8: 1, 3, 6, 7, 10, 11, 13, 14, 16, 20 |
Competitive and Monopolistic Markets. - Baye, Chapter 8 (the following topics are not required: multiplant decisions, optimal advertising decisions) |
8 |
homework: Chapter 9: 1, 2, 3, 5, 6, 8, 9, 10, 17, 23 |
Oligopoly - Baye, Chapter 9 |
9
|
homework: Chapter 11: 2, 3, 4, 5, 7, 10, 12, 13, 14, 15, 18, 20 |
Alternative Pricing Strategies with Market Power - Baye, Chapter 11 |
10
|
Case presentation; Review |
|
Jan 20 |
Final exam MBA 603 001 8:30-11:30am Fairfax campus Buchanan Hall D023 MBA 603 002 and 003 sections combined 1-4pm Arlington campus Hazel Hall room 225 |
In case of disruptions such as inclement weather or campus closure, etc., we will have online sessions in lieu of the class meeting.
By registering for this class, students agree to abide by the honor code, which describes the standards of conduct, academic violations, and the treatment of academic offenses. The Honor Code states that all students "pledge not to cheat, plagiarize, steal, or lie in matters related to academic work." Visit http://oai.gmu.edu/the-mason-honor-code-2/ to read more about the GMU academic integrity code. The Business School policy on honor code violations in presented at the end of this document.
* This syllabus is subject to
change to best fit the needs of the class.