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Applied Econometrics (SESS0023)

Key information

Faculty
Faculty of Arts and Humanities
Teaching department
School of Slavonic and East European Studies
Credit value
15
Restrictions
"This module is open to year 2 and year 3/4 students only. In order to register for this course students must have the following prerequisites completed previously: - SESS0007 Introduction to Microeconomics and - SESS0008 Introduction to Macroeconomics or their equivalents: ECON0002, BCPM0058)"
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module is designed to develop undergraduate students’ ability to understand and interpret quantitative results in the empirics of economics and business. It also provides a foundation for enabling students to conduct their own empirical research in this area. Therefore, this module could be recommended to those students who are preparing to write their BA dissertation in the field of empirical economics. The emphasis is less on the computational techniques and more on correct application of econometric methodology and interpretation of the numerical results. The module begins with basic methods for analysis of economic data and simple regression formulation and will progress gradually towards more specific techniques used for cross-sectional, time-series and, subject time permit, panel data. Students will also gain skills in working with real economic data using statistical software Stata. This will ‘open doors’ for all 2nd year students for studying and understanding the modern empirical economics and business literature, in particular, focused on developing economies and emerging markets, and provide them with basic skills necessary to undertake their own research. The module will also serve as a platform for further, more advanced, quantitative modules.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study
In person
Methods of assessment
75% Coursework
25% Other form of assessment
Mark scheme
Numeric Marks

The methods of assessment for affiliate students may be different to those indicated above. Please contact the department for more information.

Other information

Number of students on module in previous year
93
Module leader
Dr Svetlana Makarova
Who to contact for more information
ssees-eb@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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