EC204NU-Introductory Econometrics

Module Provider: School of Politics, Economics and International Relations
Number of credits: 20 [10 ECTS credits]
Level:5
Terms in which taught: Autumn term module
Pre-requisites: EC125NU Introductory Quantitative Methods in Economics and Business
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2020/1

Module Convenor: Dr Steven Bosworth

Email: s.j.bosworth@reading.ac.uk

Type of module:

Summary module description:

NUIST Module Lead:  Wang Changkai  (Email: wangchangkai@nuist.edu.cn)





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. It is linked closely to EC205, which is a natural follow-on.

The module will also help students understand key elements involved in career development and help access relevant work experience and internships while at University. 


Aims:

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


Assessable learning outcomes:

At the end of the module students should be able to:




  • interpret parameter estimates;

  • conduct simple hypothesis tests and be able to use probability tables;

  • discuss the main assumptions that underlie the application of statistics to economic problems;

  • evaluate the basic quality of an estimated model. 


Additional outcomes:

Ability to link and critically assess the quality of theoretical and empirical economic models. Computing skills. Familiarity with the specialist econometric software STATA. 


Outline content:

Introductory Econometrics The Classical Normal Linear Regression model: Regression as description. A framework for inference. Confidence levels and hypothesis tests. The multiple linear regression model. The F-test. Dummy variables. Departures from main assumptions. 


Global context:

This module is compulsory for all single honours Economics degree programmes


Brief description of teaching and learning methods:

Lectures will be used for the exposition of the principal concepts, principles and techniques as well as their practical implementation via exercises and regression output analysis. Classes will concentrate further on solving exercises which students are expected to attempt beforehand. The module will make use of IT in tutorials and Blackboard. 


Contact hours:
  Autumn Spring Summer
Lectures 88
Practicals classes and workshops 8
Guided independent study: 104
       
Total hours by term 200 0 0
       
Total hours for module 200

Summative Assessment Methods:
Method Percentage
Written exam 60
Project output other than dissertation 20
Class test administered by School 20

Summative assessment- Examinations:

One 2-hour unseen written paper. The examination covers Introductory Econometrics topics only.



 


Summative assessment- Coursework and in-class tests:

Assessment will be a mid-term test with a weight of 20% and a project with a weight of 20%. 


Formative assessment methods:

Use of revision exercises; class work set for tutorials. 


Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late:

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A minimum overall mark of 40%. 


Reassessment arrangements:

Re-examination for all modules takes place in the second week of next semester. Re-assessment by examination only; coursework is not included at the second attempt. 


Additional Costs (specified where applicable):

Last updated: 14 April 2020

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

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