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MA Economics / Course details

Year of entry: 2020

Course unit details:
MA Dissertation

Unit code ECON73000
Credit rating 60
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Full year
Offered by Economics
Available as a free choice unit? Yes

Overview

' The following is illustrative of the material that may be covered in the classes:

* Introduction
* Applied Economics - Definitions and Methodology
* Formulating an appropriate research project
* Economic Statistics
* Data Sources
* Software for Applied Economics
* Exploratory Data Analysis
* Economometrics
* Writing Economics
* Graphs and tables
* Presentation of econometric results
* How to do Presentations

Aims

To introduce students to how economic data can be used to analyse many economic hypotheses/issues/theories. The course will discuss how to formulate a research project and introduce students to a range of data sources, types of data, software, types of variable, and structure of data. It will show how the multiple regression model, developed in the two compulsory econometrics units, can be used to analyse these economic hypotheses/issues/theories. It will also give some instruction into how the research project is conducted, how it is written up, and how to give a presentation of the results.

Learning outcomes

By the end of the course students who have studied successfully will have demonstrated that they have:

* the ability to formulate an appropriate research project
* experience of using information technology as a research resource
* experience of writing a Research Project using appropriate information technology
* appropriate knowledge of software packages: e.g. Excel, Stata, Eviews, R, Gretl
* used basic statistical and graphical techniques to explore and analyse the appropriate data
* had experience of accessing such data from public sources
* clearly demonstrated appropriate use of library and other appropriate resources.

Teaching and learning methods

Formal Lectures using PowerPoint or OHP depending on availability.

Tutorials - students will work in groups, including meetings between tutorials, and make presentations to the rest of the group.

Assessment methods

Written Paper, Presentation, Exploratory Data Analysis, Project Proposal

Recommended reading

* Economic and Social Data Service (ESDS)
* Mukherjee, Chandan , White, Howard and Wuyts, Marc (1998) Econometrics and Data Analysis for Developing Countries, Routledge
* Koop, G (2005) Analysis of Economic Data, Wiley
* Wooldridge, Jeffrey M. (2008), Introductory Econometrics: A Modern Approach, Fourth Edition, Thomson South-Western publishing
* Lecture Material from both ECON60611 Introduction To Econometrics and ECON60622 Further Econometrics

Study hours

Independent study hours
Independent study 0

Additional notes

Information
Level: PG (MA Economics only)

Tutor: Nick Weaver

Timetable
Summer

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