Using Economic Data

Module Code ECNU3ED
Semester Autumn
Prerequisite ECNU213 or ECNU214
Level 11
Credit Value 20
Module Co-ordinator Dr Tanya Wilson 
Assessment 40% Coursework, 60% examination 

MODULE INTRODUCTION, AIMS AND OBJECTIVES

Many Economics graduates and employers report that skills in data analysis are among the most important and regularly used of the skills needed by economists working in industry, government and commerce. This module aims to develop these skills. As well as being valued in the workplace, they are valuable as an aid to understanding the applied economics literature, to writing dissertations, and as a preparation for postgraduate training in Economics.  The module involves the use of economic theory and econometric methods to understand and evaluate economics issues.

LEARNING OUTCOMES AND SKILLS DEVELOPED

On completion of this module, students should be able to:

  • Describe and explain the theory underlying the technique of regression analysis
  • Develop and estimate a simple econometric model
  • Interpret the results from a regression
  • Analyse the suitability of the regression results by constructing and interpreting confidence intervals and performing hypothesis tests
  • Demonstrate the ability to implement econometric techniques using an econometric package and software
  • Develop an appreciation of the usefulness of an econometric package through hands-on experience.

RECOMMENDED READING LIST

The core text book for this module is:

  • Gujarati, D. and Porter, D. Basic Econometrics, 5th McGraw Hill.

Additional readings:

  • Dougherty, C. 2011, Introduction to Econometrics, 4th ed., Oxford University Press, Oxford.
  • Koop, G, Introduction to Econometrics, Wiley
  • Maddala, G.S., Introduction to Econometrics, Wiley.
  • Christiaan Heij et al., Econometric methods with applications in business and economics, Oxford
  • Brooks, C. Introductory econometrics for finance, Cambridge
  • Studenmund, A.H. Using Econometrics: a practical guide, Addison Wesley Pearson
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