University of St Andrews

Key information

SCOTCAT credits : 20

ECTS credits : 10

Level : SCQF level 11

Semester: 1

Availability restrictions: Undergraduate Students: available with the permission of the Director of Teaching only to students in the second year of the Honours programme who have achieved at least 17.5 in EC4401.

Planned timetable: To be arranged.

This module will provide an advanced level training in aspects of econometric methods that is suitable for the basis for further work in econometrics and for understanding/being able to extract econometric techniques in published articles. The course will also give students the basis to support an empirical section in their MSc dissertation. Students are expected to have intermediate- level knowledge of matrix algebra, calculus and statistics. Before commencement of the module,supplementary lectures will be given on the relevant mathematical and statistical methods.

Relationship to other modules

Pre-requisite(s): Undergraduate - Undergraduate students must be in the second year of an honours programme, have scored 17.5 or greater in EC4401

Learning and teaching methods and delivery

Weekly contact: 20 hours of lectures over 10 weeks, 1-hour tutorial (x 8 weeks), 2-hour computing labs (x 2 weeks).

Scheduled learning hours: 32

Guided independent study hours: 168

Assessment pattern

As used by St Andrews: Written Examination = 60%, Coursework = 40%

As defined by QAA
Written examinations : 60%
Practical examinations : 0%
Coursework: 40%

Re-assessment: 3-hour Written Examination = 100%

Personnel

Module coordinator: Dr I Merkurieva
Module teaching staff: Irina Merkurieva
Module coordinator email i.merkurieva@st-andrews.ac.uk

Intended learning outcomes

• by the end of this module students will be able to familiarise with the main econometric estimators and their properties
• understand the main principles of statistical inference, know how to apply them and test hypotheses about economic models
• use Stata competently to read in and manipulate the data, estimate statistical models, conduct tests, and report results by producing readable graphics and tables
• understand and learn further econometric techniques commonly used in applied fields of economics
• pursue further studies in econometrics