Fees and funding

Fees

For entry in the academic year beginning September 2027, the tuition fees are as follows:

  • MSc (full-time)
    UK students (per annum): £16,600
    International, including EU, students (per annum): £35,300

The fees quoted above are fully inclusive of tuition, administration and computational costs.

Fees for entry are subject to yearly review. The University reserves the right to increase your tuition fee by up to 7% each year for courses lasting more than one year, including to reflect rising costs associated with delivering our educational and wider student experience. Postgraduate fees information .

Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

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Course unit details:
Microeconometrics

Course unit fact file
Unit code ECON60052
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Offered by Economics
Available as a free choice unit? Yes

Overview

The aims of this course unit are to:

(i) introduce students to modelling and estimation techniques in the analysis of microeconometric data;

(ii) develop an understanding on how and when to use the different techniques

(iii) provide sufficient background to enable students to read the applied literature which applies these techniques;

(iv) prepare students for a dissertation topic that analyses microeconometric data.

 

Pre/co-requisites

Unit title Unit code Requirement type Description
Econometric Methods ECON61001 Pre-Requisite Compulsory
ECON61001 is a pre-requisite for ECON60052

Pre requisite ECON61001

Aims

The aims of this course unit are to:

(i) introduce students to modelling and estimation techniques in the analysis of microeconometric data;

(ii) develop an understanding on how and when to use the different techniques

(iii) provide sufficient background to enable students to read the applied literature which applies these techniques;

(iv) prepare students for a dissertation topic that analyses microeconometric data.

 

Learning outcomes

On completion of this unit successful students will be able to:

(i) demonstrate an understanding of some of the problems associated with microeconometric data such as endogenous regressors, selection bias and causal effects;

(ii) understand and apply some standard techniques to address these problems, such as instrumental variable estimation, randomized experiments, using panel data, using Differences-in-Differences approaches or using Regression Discontinuity Designs;

(iv) apply these techniques using the computer software R;

(v) interpret R output correctly.

 

Syllabus

Provisional

1) Regression

(2) Standard Errors

(3) Instrumental Variables

(4) Randomized Experiments

(5) Panel Data Methods

(6) Differences-in-Differences

(7) Regression Discontinuity Designs)

Teaching and learning methods

Lectures and tutorials

Assessment methods

Method Weight
Other 25%
Written exam 75%

75% Final Exam

25% Group MIdterm Assessment

Recommended reading

There is no one course text. Material will be delivered primarily though the lecture unless specified otherwise.

 

The main texts are: -

Wooldridge, J.M. (2020): Introductory Econometrics: A Modern Approach, 7th ed., Cengage. -

Angrist, J. D. and J.- S. Pischke (2009). Mostly Harmless Econometrics, Princeton University Press.

 

For some parts, the course also follows: -

Wooldridge, J.M. (2010): Econometric Analysis of Cross Section and Panel Data, Second Edition. MIT Press. -

Duflo, E., Glennester, R. and M. Kremer (2007): Chapter 61 Using Randomization in Development Economics research: A Toolkit, Elsevier, vol. 4 of Handbook of Development Economics, 3895 – 3962. -

Fröhlich, M. and S. Sperlich (2019): Impact Evaluation: Treatment Effects and Causal Analysis. Cambridge University Press.

 

Students may note that the following cover the same or related topics. -

Cameron, C. and P. Trivedi (2012): Microeconometrics: Methods and Applications, Cambridge University Press. -

Verbeek, M. (2012): A Guide to Modern Econometrics, 4th edition, Wiley. -

Angrist, J.D. and J.-S. Pischke (2014):  Mastering metrics: The path from cause to effect. Princeton, New Jersey: Princeton University Press.

The specific references relevant for each topic are given in the lectures

 

Study hours

Scheduled activity hours
Lectures 18
Tutorials 7
Independent study hours
Independent study 125

Teaching staff

Staff member Role
Riddhi Kalsi Unit coordinator

Additional notes

 

 

Return to course details

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