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Module Details

EC252-5-SP-CO: Introduction To Econometric Methods

Note: This module is inactive. Visit the Module Directory to view modules and variants offered during the current academic year.

Year: 2018/19
Status: Inactive
Department: Economics
Campus: Colchester Campus
Term: Spring
Level: Undergraduate: Level 5
Essex credit: 15
ECTS credit: 7.5
Available to Incoming Essex Abroad / Exchange students: Yes
Available to Outside Option: Yes
Available to Audit: No
Module Start and End Dates: Monday 14 January 2019 - Friday 22 March 2019
Pre-requisites: EC114 OR BE300 OR MA108

Supervisor: Dr Abhimanyu Gupta
Teaching Staff: Dr Abhimanyu Gupta
Contact details: For further information, send an email message to

*Please note: Due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

Module Description

This module provides an introduction to the econometric methods commonly used to analyse economic data. The focus of the module is on linear regression and the ordinary least squares (OLS) estimation procedure. This is introduced after a review of basic probability, random variables, simple descriptive statistics and the concept of the null hypothesis. Students will then be taught about how t-tests and F-tests can be used to make inferences about the estimated parameters and what diagnostic tests are available to test some of the assumptions of the simple OLS model. Then the module will move onto the question of identification and model specification, the concepts and implications of consistency and efficiency. The module will be taught throughout using the Stata software package and always using economic examples using real data.

Upon successful completion of this module students will have learned how to carry out simple statistical and econometric calculations. In addition they will possess the ability to understand and assess critically empirical findings reported in the applied economics literature. In addition, they should be able to use the linear regression model and the econometric methods developed for the linear regression model in order to conduct a simple econometric investigation of an empirical issue of interest. In completing tests/assignments, students will demonstrate their problem-solving analytical and deductive skills.

This module delivers key employability skills of adoption of new techniques and project management (Career Development), and reflection and evaluation (Personal Development Planning). The key academic skills delivered by the module are detailed in the Key Skills table. See the Departmental web pages at

Teaching and Assessment


50 per cent Coursework Mark, 50 per cent Exam Mark

Exam Duration and Period

120 minutes during Summer (Main Period) (Main)

Teaching Methods

2 one hour lectures and one class per week in one term

Other information

Coursework consists of one test and one econometrics exercise

Compulsory for:
Year 2 Economics students


Teaching Materials

Available via Moodle.

Lecture Recording*

Of 139 hours, 123 (88.5%) hours available to students:
16 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Further information

Department Website: Economics

External Examiner Information

  • Name: Dr Fabio Arico
    Institution: The University of East Anglia
    Academic Role: Senior Lecturer


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