MA Economics

The principal aim of this course is to refresh foundations of both Statistics and Math that will be used later on in the year from other modules

The principal aim of this course is to refresh foundations of both Statistics and Math that will be used later on in the year from other modules

Provisional

For the Math Week, lectures will be structured as follows:

Lecture 1: Set, Numbers and Function

Lecture 2: Univariate Calculus and Optimization

• Derivative and Differentials
• Unconstrained Optimization;
• Constrained Maximization.

Lecture 3: Linear Algebra

• Matrix Algebra
• Quadratic Forms.

Lectures 4: Multivariate Calculus and Optimization

• Partial Derivatives
• Functions with Economics Applications
• Unconstrained Maximization
• Constrained Maximization

Lectures 5: Integration

• Indefinite Integrals
• Definite Integrals
• Eigenvalues and Eigenvectors

Statistics:

Lecture 1: Probability & Moments

Lecture 2: Joint Distribution Theory

Lecture 3: Random Sampling & Estimation

Lecture 4: Confidence Intervals & Testing

Lecture 5: OLS and Intro to ECON60901 (Compulsory only for MSc Students)

Video lectures and tutorials; further classes face to face.  

Online exam.

Here is an outline of what we expect students to know, as a minimum, before they start the pre-session course and the areas that the course covers. This list will help you to plan any necessary revision.

You will find it useful to refer to Carl  P. Simon- Lawrence  Blume,, Mathematics for Economics (1994)

For a concise summary of the required knowledge of statistics see also our dedicated Econometric Computing Learning Resource (ECLR).

Lecturers: Alessia Isopi and Yidi Sun.

https://www.socialsciences.manchester.ac.uk/study/masters/intro-to-qm/