MSc Economics

Year of entry: 2027

Course unit details:
Applied Development Economics Project (ADEP)

Course unit fact file
Unit code ECON60552
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

 

Aims: To provide students with practical experience of applied development research.

 

Pre/co-requisites

Unit title Unit code Requirement type Description
Macroeconomic Theory ECON60111 Pre-Requisite Compulsory
Introduction to Econometrics ECON60611 Pre-Requisite Compulsory
Econometric Methods for Development MGDI60031 Pre-Requisite Compulsory
Econometric Methods ECON61001 Co-Requisite Compulsory
ECON60611 or ECON61011 or MGDI60031 is a Pre-Requisite for ECON60552

Aims

To provide students with practical experience of applied development research.

Learning outcomes

At the end of the course students should be able to:
(a) demonstrate an understanding of the use of real world data sets;
(b) construct and apply a model to such data;
(c) apply an appropriate set of tests to assess the robustness of their model and
(d) present their results in an appropriate manner.

Syllabus

Provisional

Background: It is assumed that the students have the necessary background as far as the execution of the estimation stage is concerned, based on the quantitative methods courses they have taken in the first semester. However, supporting lectures will be given on aspects of estimation and the interpretation of results. In addition, the tutorials will cover the use of the STATA estimation package.

Supporting Lectures: A set of supporting lectures will be delivered in the first half of the semester.

The following topics will be covered:

Lecture 1   On Preparing the ADEP and examples of projects: Providing a set of guidelines on how to carry out applied work. Outlining the way of carrying out the projects and of testing hypothesis.  (Dr Yinfang Zhang, GDI, YZ).)

Lecture 2   Highlighting data problems relevant to developing countries and ways of tackling them  & Examples of Projects (YZ)

Lecture 3   Review of Ordinary Least Squares (OLS) and Specification Tests using STATA (Dr Katsushi Imai, Economics, KI)

Lecture 4   Selected Topics on Cross-Sectional Econometrics (Instrumental Variable) and an Introduction to Static Panel Data Models (KI)

Lecture 5   Panel-Data Models (An application of Static Panel Models)

Lecture 6    Review of time-series econometrics (YZ)

Lecture 7    Introduction to the Dynamic Panel Model with a review on how to carry out your project based on the actual project based on cross-section and panel data (KI)


Individual supervisions: Most students can expect to need some personal supervisory support. Please consult the lecturers.

 
Data Sources: The course has the World Bank Development Indicators database. Data on particular countries can be downloaded. In addition, there are an extremely large number of databases available within the university, both on-line and in the library. Those wishing to construct their own database (for which extra credit will be given) may find following data sources useful: (All development students should be familiar with these). See the lecture note 3 for more details.  

International Financial Statistics, International Monetary Fund  
Balance of Payments Statistics, International Monetary Fund  
Government Finance Statistics, International Monetary Fund  
World Development Report, The Word Bank  
World Development Indicators, The World Bank  
Global Economic Prospects and the Developing Countries, The World Bank  
Geographical Distribution of Financial Flows to Aid Recipients, OECD  
Development Co-operation Report, OECD  
Private and Public Investment in LDCs, IFC, The World Bank

 

Teaching and learning methods

Lectures and Tutorials

Assessment methods

Proposal – 500-1,000 words. To include project title, key references, hypotheses, proposed data sources, preliminary analyses of the data or key variables (or a detailed summary of proposed data), and econometric specification/models (10%).

Final Report - 3,000 words (for text and footnotes, not including tables, graphs or appendices) (90%).

Recommended reading

There is no reading list for this course. However, the following text is the most useful in terms of approach, background and data. It will be the basis of several examples used in lectures and tutorials:

Måns Söderbom, Francis Teal, Markus Eberhardt, Simon Quinn, Andrew Zeitlin (2014), Empirical Development Economics, Routledge.

Mukherjee, C., While, H. and Wuyts, M. (1998) Econometrics and Data Analysis for Developing Countries, Routledge, London and New York.

Other useful references

Wooldridge, M, (2006) Introductory Econometrics: A Modern Approach, Third Edition, Thomson South-Western Publishing

Greene, W. (2006) Econometric Analysis: 5th Edition Prentice Hall.

Baltagi, B. (2013). Econometric analysis of panel data. 5th Edition, John Wiley & Sons.

Angrist, J. D.; Pischke, J. S. (2008). Mostly harmless econometrics: An empiricist's companion. Princeton University Press.

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

Gujarati, D. (2003) Basic Econometrics, McGraw-Hill Education

 

Study hours

Scheduled activity hours
Lectures 14
Tutorials 6
Independent study hours
Independent study 130

Teaching staff

Staff member Role
Yin-Fang Zhang Unit coordinator
Katsushi Imai Unit coordinator

Additional notes

 

 

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