Math for
Economists (EC 311.01 – Fall 2011)
Campion 302: T Th (12 – 1:15)
Economists don’t
use a lot of math, but they do use math a lot!
Christopher Maxwell Office:
maxwellc@bc.edu
http://www.cmaxxsports.com Hrs: W 12-3 and by appt.
This is an introductory course in the use of mathematical methods in economics, with an emphasis on model building and analysis. The approach is two dimensional:
This is an Economics course… with a focus on the language of mathematics, and tools and applications (rather than lemmas, theorems and proofs). If you are really just interested in the math, I recommend the math department, which offers excellent courses in each of the topic areas listed above.
Most of you are taking other economics courses, which will be using some of the tools we are covering in this class. Please let me know if there are particular applications that you’d like to see us cover, and I’ll try to work those into the semester.
Prerequisites:
At least one intermediate economics course (EC 201, 202, 203 or 204) and
MT 100 (or its equivalent). No
exceptions. Students also should have
taken at least one math course at
Required text:
Jeffrey Baldani, James Bradfield, and Robert Turner, Mathematical
Economics, 2nd ed. (
A copy of
Some additional texts:
There is no need to purchase any of these (most are available at
O’Neill). I list them just because
sometimes it is useful to see a different presentation of the material. Warning:
Most of these are more technical than
Grading:
Only in extraordinarily compelling situations will I even consider the possibility of a “make up” exam. It is your responsibility to plan your schedule accordingly.
BlackboardVista: All handouts, problem sets, exams, and answers will eventually be posted on the course’s BlackboardVista site. Let me know if you have trouble accessing that material.
Calculators/computers: You are not allowed to use programmable, graphing, or business calculators, computers, phones or similar electronic devices during the exams or quizzes. You may use five function calculators {+, -, *, /, =}… however, they will be probably be unnecessary as the quiz and exam questions will be written so that the arithmetic will be so simple that even a cave man could do it.
Academic Integrity:
The Deans have requested that I remind you that you will be held to
Topics:
We will be following the presentation in
As with all great things,[1] the course divides into three parts (with an exam following each Part):
Part A: Univariate
Calculus and Linear Algebra
1.
Introduction:
Mathematical models; Optimization; Envelope theorem; Appendix (calculus
review)
2.
Optimization Intro – Applications
·
Micro:
Labor unions; Profit maximization (differing market structures; taxes)
·
Macro:
Simple Keynesian model I
3.
Matrix Theory – Linear Algebra: Scalars, vectors and matrices and operations;
Systems of linear equations; Inverse and identity matrices; Cramer’s Rule
4.
Linear Models – Applications
·
Micro:
Competitive markets; Differentiated products; Duopolies
· Macro: Simple Keynesian model; ISLM
Part B: Multivariate
Calculus and Unconstrained Optimization
5.
Multivariate Calculus:
Partial and total derivatives; Differentials; Implicit functions; Level
curves; Homogeneity
6.
Multivariate Calculus – Applications
·
Micro: Tax
incidence (differing market structures); Utility maximization; Homogeneity of
demand (consumers and producers)
·
Macro:
Balanced budget multipliers; Monetary policy effectiveness
7.
Unconstrained optimization: Optimization (univariate and multivariate); Concavity
and convexity; Positive and negative definiteness; Comparative statics
8.
Unconstrained optimization – Applications
·
Micro: Cost
minimization; Efficiency wages; Multiplant firm; Multimarket monopoly; Pollution
taxes and emissions
· Statistical estimation: OLS
Part C: Constrained
Optimization
9.
Constrained optimization with binding constraints: Lagrangian methods; Comparative statics; Value
functions and Lagrange multipliers I
10. Constrained
optimization with binding constraints – Applications
·
Micro: Cost minimization and conditional demand;
Profit and utility maximization; Labor supply; Pareto efficiency
· Macro: Inter-temporal consumption; Transactions demand for money
This is the likely end of the semester … But if there is time, we will continue with selections from the following (likely beginning with Chapters 15 and 16):
11. Constrained
optimization with inequality constraints: One variable optimization; Non-negativity
constraints; Inequality constraints (Kuhn Tucker); Linear programming (and
duality)
12. Constrained
optimization with inequality constraints – Applications
·
Micro:
Utility maximization; Two-good diet problem;
·
Macro: Inter-temporal consumption (with liquidity
constraints)
13. Value
functions and the Envelope Theorem: Unconstrained
optimization; Constrained optimization; Lagrangian multipliers
14. Value
functions and the Envelope Theorem – Applications
·
Micro:
15. Dynamics:
Difference and differential equations; Appendix (eigenvalues and eigenvectors;
dynamic optimization)
16. Partial
adjustment models
·
Micro: Marshallian (quantity) adjustment; Cobweb;
nFirms in an oligopoly; Fisheries
·
Macro:
ISLM; Philips curve; Solow growth model
In Addition: While
I think that
These topics will be woven into the material.
[1]
This is, of course, a reference to the opening line in Caesar’s Gallic Wars: “Gallia Est Omnis Divisa in Partes Tres.”