EC451     
Introductory Course for MSc EME

This information is for the 2023/24 session.

Teacher responsible

Dr Yike Wang SAL 4.26

Prof Michele Piccione SAL 4.07

Prof John Moore SAL 4.14

Prof Javier Hidalgo SAL 4.20

Availability

This course is compulsory on the MSc in Econometrics and Mathematical Economics. This course is not available as an outside option.

The course is split into three parts: Microeconomics, Macroeconomics and Econometrics. 

Non-EME students wishing to take EC487 Advanced Microeconomics as part of their programme must attend Week 1 of the EC451 course, Microeconomics, and sit the EC451 Microeconomics examination.

Non-EME students wishing to take EC484 Econometric Analysis as part of their programme must attend Week 3 of the EC451 course, Econometrics, and sit the EC451 Econometrics examination.

Non-EME students are not permitted to attend Week 2 of the EC451 course, Macroeconomics. 

Course content

Microeconomics (Week 1):

This section focuses on microeconomic theory and introduces the economic concepts of choice, preference, and utility, including a discussion of the revealed-preference approach. It describes the consumer's problem and investigates the properties of its solutions.  It discusses how social preferences can sensibly be aggregated. The course will also cover some basic real analysis, correspondences, and fixed-point theorems.

Macroeconomics (Week 2):

The prequel of the advanced macroeconomics core course focuses on topics in modern macroeconomic theory, starting with basic national income accounting and the real-business cycle model. Then sticky prices. Followed by matching frictions in the labour market. Finally credit market imperfections. 

Econometrics (Week 3):

Day 1-4 (Dr Yike Wang): This part introduces basic concepts and theory for mathematical statistics and probability. This part mostly focuses on linear regression model and covers the topics, such as (i) Conditional expectation and projection, (ii) Algebra of least squares, (iii) Finite sample theory, (iv) Maximum likelihood (v) Introduction to asymptotic theory, and (vi) Hypothesis testing. Also, some background mathematical results are reviewed.

Day 5 (Prof Hidalgo): Last day is devoted to introduction to MT part of EC484. Further concepts and results on convergence of variables are discussed.

 

Teaching

The course is taught in September. It consists of approximately 45 hours of lectures and an additional 22 hours of classes, across a 3-week period. Lectures and classes will be delivered in person on the LSE campus.

Formative coursework

After each lecture, some exercises will be handed to students. They will be solved during the classes.

Indicative reading

Hansen, Bruce (2022) Econometrics (main reference)



Hansen, Bruce (2022) Probability and Statistics for Economists (background reading for the econometrics sequence)

Rubinstein (2012) Lecture Notes in Microeconomic Theory

Ljungqvist, Lars and Thomas J. Sargent (2012) Recursive Macroeconomic Theory.

Romer, David (2011) Advanced Macroeconomics.

Assessment

At the end of the course, students will be examined on all three modules, microeconomics, econometrics and macroeconomics.

Students from programmes other than MSc EME wishing to continue studying MSc EME core courses must achieve a passing mark in each subject exam.

Key facts

Department: Economics

Total students 2022/23: 42

Average class size 2022/23: Unavailable

Controlled access 2022/23: No

Value: Non-credit bearing

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Application of numeracy skills
  • Specialist skills