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MSc Economics

Year of entry: 2020

Course unit details:
Introduction to Quantitative Methods in Economics

Unit code ECON60901
Credit rating 0
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 1
Offered by Economics
Available as a free choice unit? Yes

Aims

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

Learning outcomes

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

Syllabus

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

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)

 

Teaching and learning methods

Lectures.

Assessment methods

Informal Assessment: On-line examinations will be available.

Recommended reading

 

A booklet with all the lecture notes will be provided at the beginning of the course. To further expand the readings any Mathematics for Economist book will do such as:

  1. Mathematics for Economists, C.P. Simon and L. Blume (2010), International Student Edition;
  2. Mathematics for Economists: An Introductory Textbook, (2011) M. Pemberton;
  3. Geoff Renshaw, (2009) Maths for Economics 2nd Edit, Oxford.

 

Statistics: A booklet with lecture notes and exercises to accompany the course will be provided.

 

Study hours

Independent study hours
Independent study 0

Teaching staff

Staff member Role
Antonio Parlavecchio Unit coordinator
Alessia Isopi Unit coordinator

Additional notes

Information
Lecturers: Alessia Isopi and Antonio Parlavecchio

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

 

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