Course unit details:
Applied Development Economics Project (ADEP)
| 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 |
Aims
To provide students with practical experience of applied development research.
Learning outcomes
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
