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Department of Economics

Quantitative Methods III

Course Code:
Unit value:
Taught in:
Term 2

The course is built on the current Quantitative Methods I and complementary to Quantitative Methods II courses for those students with an empirical bent. The course is an option which runs in parallel with Quantitative Methods II.

The course provides a rigorous introduction to micro-econometric theory and enables students to apply the methods to economics and development policy questions. These include panel data methods and limited dependent variable methods. The course culminates in a treatment of modern programme evaluation methods which use a variety of the foregoing methods in the process of developing identification strategies for the estimation of causal impacts of, for instance, training programmes, poverty alleviation programmes and the adoption of new agricultural technologies. The course concludes with a broad discussion of the nature and methodology of applied econometrics.

More detailed course information is provided in the course website, which is accessible for all the registered students.

Objectives and learning outcomes of the course


The objective of the course is to go into more depth concerning some of the key micro-econometric methods currently being employed in development economics and economics in general. It also aims to raise students’ appreciation of applied econometric practice and broaden their understanding of major methodological issues in econometrics.

Learning Outcomes

Students will obtain a string background in the micro-econometric theory and applications of the following topics: Panel Data Methods, Limited Dependent Variable Methods and Instrumental Variables Methods. These methods will then be used in the context of Programme Evaluation Methods, which are specifically directed towards analysing the impact of policy interventions. Students will gain an understanding of methods such as matching, propensity score matching, difference in differences and instrumental variables in this context. Students will also extend their general knowledge of how to best bridge data and economic issues at hand.

The tutorial sessions will ensure that students are also able to apply these methods to real data and real policy questions.

Method of assessment

Exam 70% / Coursework 30% (1 essay)


Submission of Coursework

All students are required to submit all elements of assessment to pass a course, and are required to submit all coursework as a pre-condition of exam entry.  The Associate Dean (Learning and Teaching) may, at the request of the Head of Department, withdraw permission to take exams or terminate degree registration if you persistently fail to submit coursework without good cause.

Deadlines for course-work essays are set prior to the commencement of the academic year by the course teacher or (where more than one teacher is involved in a course) the course convenor.  The final deadline will not be later than the School's final deadline and will generally be earlier. Students will be informed of these deadlines at the beginning of the course - these can be confirmed on BLE or from the Faculty Office.

Coursework must be submitted manually submitted to your Faculty Office. Please see below for our manual submission procedure.

Manual course work submission

Two copies of every assessed essay must be submitted by students to the Faculty Office before 4.00pm on the due date.  Students must see that the date of their essay submission is recorded on their receipt. Students who submit their essays on time are entitled to receive one copy of each essay back with comments and a provisional mark within at most three weeks in term time.  One copy will be retained by the Faculty Office (together with a copy of the general comments returned to the student) so that it is available at the time of the examination

Cover sheet

When submitting course work students must ensure that the cover sheet has the following information at the top right-hand corner:

  • Name of student in full
  • ID number
  • Name of course
  • Code of course
  • Assignment number e.g. 1 for first assignment, 2 for second assignment – etc.
  • Date of deadline, which is given out at the start of term with the course outlines


Students should aim to submit coursework at least an hour before the deadline. Students must see that the date of their essay submission is recorded on their receipt. Students who submit their essays on time are entitled to receive one copy of each essay back with comments and a provisional mark within at most three weeks in term time. 

For information regarding the late submission of coursework and resubmission of failed coursework procedure please refer to the Postgraduate Student Information Guide

Suggested reading

The course will draw from developing country applications and the following textbooks:

  • Maddala G S (1986). Limited Dependent Variables Models. Cambridge University Press
  • Wooldridge J (2000). Econometric Methods for Cross Section and Panel Data. MIT Press
  • Greene W (2006, 6th Edition). Econometric Analysis. Pearson-Prentice Hall.


Other useful readings:

  • Swann, P (2006) Putting Econometrics in Its Place. Edward Elgar
  • Angrist J and Pischke J-S (2008). Almost Harmless Econometrics. Princeton Press