EC451     
Introductory Course for MSc EME

This information is for the 2025/26 session.

Course Convenor

Dr Dmitry Mukhin

Dr Ragvir Sabharwal

Dr Jasmine Wang

Dr Eduard Boehm

Availability

This course is compulsory on the MSc in Econometrics and Mathematical Economics. This course is not available as an outside option to students on other programmes. This course uses controlled access as part of the course selection process.

For queries contact: econ.mres.phd@lse.ac.uk

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. 

Course content

Microeconomics (Week 1):

This section focuses on introducing core topics and tools in microeconomic theory as preparation for the core course Advanced Microeconomics EC487. Topics are likely to include the economic concepts of choice, preference, and utility, the revealed preference approach, the consumer’s problem and its properties, expected utility, and the aggregation of social preferences. Tools covered may include basic real analysis foundations, correspondences, and fixed-point theorems. 

Macroeconomics (Week 2):

This part of the course introduces students to the methods of dynamic optimization and the general equilibrium. These methods are widely used in many areas of macroeconomics — including growth theory, business cycles, monetary economics, search models, etc. — but are also common in other fields of economics. The main goal of the course is to provide mathematical tools that can be used to solve dynamic problems and to introduce the basic concepts that are required to study macroeconomic models. The main focus is on applications and heuristic derivations. 

Econometrics (Week 3):

Days 1-4 (Dr Ragvir Sabharwal): This part includes (i) a review of probability theory, (ii) a review of linear algebra, and the algebra of ordinary least squares (OLS) estimation, (iii) an analysis of finite sample properties of OLS estimators, and (iv) a discussion of additional estimation methods (method of moments, maximum likelihood) as well as statistical inference.

Day 5 (Dr Yike Wang): The final session is devoted to introducing Econometric Analysis EC484. Further econometrics concepts and results are discussed.

 

Teaching

45 hours of lectures and 22 hours of classes.

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 assessment

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

 

Indicative reading

Hansen, Bruce (2022) Econometrics

Hansen, Bruce (2022) Probability and Statistics for Economists

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

Course Study Period: Pre-sessional

Unit value: Non-credit bearing

FHEQ Level: Level 7

CEFR Level: Null

Total students 2024/25: 51

Average class size 2024/25: Unavailable

Controlled access 2024/25: No
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