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ECM001NU - Introduction to Econometric Analysis

ECM001NU-Introduction to Econometric Analysis

Module Provider: School of Politics, Economics and International Relations
Number of credits: 0 [0 ECTS credits]
Level:7
Semesters in which taught: Semester 1 module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2023/4

Module Convenor: Dr Hussein Hassan
Email: hussein.hassan@reading.ac.uk

NUIST Module Lead:
Email:

Type of module:

Summary module description:

This module is primarily designed to give students a general understanding of basic econometrics with an emphasis on the interpretation of basic linear regression results and their relevance in economic analysis. 


Aims:

The module aims to introduce students to the empirical analysis of economic models.


Assessable learning outcomes:

The module covers various aspects of Econometrics. At the end of the module students should be able to:




  • understand issues involved in regression model specification;

  • interpret regression results;

  • conduct simple hypothesis tests;

  • have a general understanding of the main assumptions that underlie the application of statistics to economic problems.


Additional outcomes:

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Outline content:


  • The simple linear regression model, interpretation of different functional forms.

  • The multiple linear regression model.

  • Inference in the multiple linear regression model, hypothesis testing.

  • Further forms of regression models and their interpretation.


Global context:

This module is compulsory for the MSc Business Economics degree programme.


Brief description of teaching and learning methods:

Lectures will be used for the exposition of the principal concepts, principles and techniques. 


Contact hours:
  Semester 1 Semester 2
Lectures 20
Guided independent study:    
    Other 30
     
Total hours by term 50 0
     
Total hours for module 50

Summative Assessment Methods:
Method Percentage

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

None. Rather the module helps to prepare students to take another module which is assessed.


Formative assessment methods:

Penalties for late submission:

N/A


Assessment requirements for a pass:

Reassessment arrangements:

Additional Costs (specified where applicable):

1) Required text books:  

2) Specialist equipment or materials:  

3) Specialist clothing, footwear or headgear:  

4) Printing and binding:  

5) Computers and devices with a particular specification:  

6) Travel, accommodation and subsistence:  


Last updated: 30 March 2023

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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