Introduction to Econometric Methods
Undergraduate: Level 5
Thursday 03 October 2019
Saturday 14 December 2019
20 September 2019
Requisites for this module
EC114 or BE300 or MA108
BA L100SK Economics,
BSC 0E45 Economics (Including Placement Year),
BSC L101 Economics,
BSC L101SK Economics,
BSC L103 Economics (Including Foundation Year),
BSC L107 Economics (Including Year Abroad),
BA LL12 Economics and Politics,
BA LL13 Economics and Politics (Including Placement Year),
BA LL1F Economics and Politics (Including Year Abroad),
BSC LL2F Economics and Politics,
BSC LL3F Economics and Politics (Including Year Abroad),
BSC LL4F Economics and Politics (Including Placement Year),
BSC L1G1 Economics with Mathematics,
BSC L1G3 Economics with Mathematics (Including Placement Year),
BSC L1G8 Economics with Mathematics (Including Foundation Year),
BSC L1GC Economics with Mathematics (Including Year Abroad),
BSC 0Q64 Financial Economics (Including Placement Year),
BSC L114 Financial Economics,
BSC L117 Financial Economics (Including Foundation Year),
BSC L194 Financial Economics (Including Year Abroad),
BSC 5H18 International Economics (Including Placement Year),
BSC L116 International Economics,
BSC L161 International Economics (Including Foundation Year),
BSC L162 International Economics (Including Year Abroad),
BSC 5M00 Management Economics (Including Placement Year),
BSC L109 Management Economics,
BSC L191 Management Economics (Including Foundation Year),
BSC L193 Management Economics (Including Year Abroad),
BSC LG01 Economics with Computing,
BSC LG02 Economics with Computing (Including Year Abroad),
BSC LG03 Economics with Computing (Including Placement Year),
BSC C148 Economics with Psychology,
BSC C158 Economics with Psychology (Including Year Abroad),
BSC C168 Economics with Psychology (Including Placement Year)
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.
The aim of this module is to teach students intermediate undergraduate level econometric methods. Those methods are more sophisticated compared to the prerequisite module EC114. The module material will provide a good background to students who wish to write a final year dissertation by using quantitative methods.
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.
No additional information available.
2 one hour lectures and one class per week in one term
This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||Autumn Term Test - 25 November 2019 - Week 9
||Exercise Autumn Term
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Lectures: Dr Gordon Kemp / Classes: various teachers
For further information, send an email message to email@example.com.
Dr Fabio Riccardo Arico
The University of East Anglia
Available via Moodle
Of 149 hours, 141 (94.6%) hours available to students:
8 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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