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UCL School of Slavonic and East European Studies (SSEES)

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SEES0095 Advanced Quantitative Methods

UCL Credit Value: 15

ECTS Value: 7.5

Term 2

Module Coordinator: Dr Svetlana Makarova

Taught By: Dr Svetlana Makarova

Weekly Contact Hours:

3.5 (2 hour lecture and 1.5 hour lab sessions per week)

Prerequisites: SEESGS15 Quantitative Methods
This module is compulsory for students on the following programmes:
MA Comparative Business Economics
MA Comparative Economics and Policy
MRes in the Politics and Economics of Eastern Europe
MRes in East European Studies (Year 2 Social Sciences track)
IMESS (Economcs & Business track)

Summative Assessment

5000 word STATA project (100%)

Formative Assessment

In order to help students to follow the theoretical and practical materials the weekly home exercises will be given. Answers and solutions to these exercises will be partially available on Moodle and partially will be discuss during the follow on sessions and, if needed, during office hours. Also an intermediate ‘progress check' to help students in choosing a topic for a project, which can be conducted for the final assessment will be set in the middle of the term. All these will allow students not only in following the lectures and classes topics but also in self-evaluation.

Module Outline

The AQM course builds on the foundation techniques taught in 'Quantitative  Methods'during Term1. It is designed to master students’ ability in empirical econometric analysis of economic and social sciences data. The course starts from advanced topics in multiple regression analysis followed by more specific analysis of time series data, panel data modelling and introduction to limited depended variable models. This course caters for students from diverse backgrounds with different levels of statistical knowledge. For those with a limited statistical background there is the opportunity to gainmore quantitative skills, for those with limited experience in using statistical software classes in Stata will be on help and for those with more experience there is the opportunity to hone skills and undertake original quantitative research at a more advanced level.

There is an emphasis throughout on the use, interpretation and understanding of results rather than proofs, which will be kept at an elementary/intermediate level. The course can though act as a lead into a more theoretical econometrically oriented course.

Please note: This outline is accurate at the time of publication. Minor amendments may be made prior to the start of the academic year.