Fees and funding

Fees

Fees for entry in 2027 have not yet been set. For reference, the fees for the academic year beginning September 2026 were as follows:

  • MA (full-time)
    UK students (per annum): £15,800
    International, including EU, students (per annum): £33,600

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.

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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).

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Course unit details:
Further Econometrics

Course unit fact file
Unit code ECON60622
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

Pre/co-requisites

Unit title Unit code Requirement type Description
Introduction to Econometrics ECON60611 Pre-Requisite Compulsory
ECON60611 is a co-requisite for this unit

Aims

The aims of this course are threefold.

  1. to introduce students to basic modeling techniques in the analysis of cross-section, panel and time series economic data;
  2. to provide students with sufficient econometric training to read the applied literature in core journals which use these standard techniques;
  3. to prepare students for a dissertation topic that analyses either cross-section, panel or time series data using basic econometric techniques.

Learning outcomes

At the end of the course, students should be able to perform the following tasks.

With cross-section and panel data:

  1. Interpret the results from regression models involving panel data and instrumental variables;
  2. understand how to use instrumental variables to account for endogenous regressors;
  3. understand how to estimate binary response models
  4. understand how to correct for sample selection using Heckman’s two-step procedure;
  5. understand how use repeated cross-section samples to perform a Difference in Difference analysis
  6. understand how to set up and analyse panel data regression models;
  7. estimate basic panel data, instrumental variables binary response and sample selection models;
  8. use the computer package Stata.

With time series data:

  1. understand the basic concepts of stationary and non-stationary time series;
  2. understand and apply basic linear models for univariate and multivariate time series;
  3. understand the concepts of integration and cointegration and how to test for these phenomena in time series;
  4. use the computer package R to analyse time series data.

 


 

Syllabus

Provisional

(Relevant textbook chapters in parentheses; W = Wooldridge; B=Brooks)

Cross-section & panel data

  • Instrumental Variables Estimation and Two-Stage Least Squares (W 15)
  • Binary response models (W 17.1)
  • Sample Selection and Heckman’s Two-Step Procedure (W 9.5, 17.5)
  • Repeated cross-section data, and Difference in Difference analysis (W 13.1-13.2)
  • Panel Data Methods (W 13.3-13.5,14.1)

Time series data

  • Stationary Time Series – AR(MA) Modelling (B 6)
  • Multivariate Modelling – VARs (B 7)
  • Regression with time series data  (W 11, B5)
  • Non-Stationary Time Series – Unit Root Testing and Cointegration (B 8)

 

 

 

Teaching and learning methods

Lectures and tutorials

Assessment methods

Method Weight
Other 15%
Written exam 85%

85% final exam

15% mid term test

Recommended reading

The main texts are:

  • Wooldridge, J. M., (2013), Introductory Econometrics, South-Western Cengage Learning, Fifth Edition. Please note that other editions of the textbook may be used as well.

Important information: a custom edition of this textbook is available at a lower price at Blackwell’s bookstore. It is sold as:

Econometrics, Custom Edition for The University of Manchester, compiled by Andrews, Becker,

Cortes, Masters, Mazza and Backus. ISBN 978-1-4737-2064-0.

  • Brooks, C., (2019), Introductory Econometrics for Finance, 4th Edition, Cambridge UP

 An additional source is

  • Verbeek, M., (2012), A Guide to Modern Econometrics, 4th Edition, Wiley

Study hours

Scheduled activity hours
Lectures 22
Tutorials 11
Independent study hours
Independent study 117

Teaching staff

Staff member Role
Chenyang Wang Unit coordinator

Additional notes

Information
Pre-requisite: ECON60611

 

 


 

 

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