ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹û

XClose

ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹ûModule Catalogue

Home
Menu

Econometrics for Macroeconomics and Finance (ECON0022)

Key information

Faculty
Faculty of Social and Historical Sciences
Teaching department
Economics
Credit value
15
Restrictions
Suitable for: Final year Economics (L100, L101, L102) and Economics and Statistics (LG13) students. Prerequisites: Students must have taken ECON0019: Quantitative Economics and Econometrics in the previous year (or equivalent).
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Aims: The main aim of this module is to develop the knowledge of econometric techniques that are useful in the analysis of financial markets and macroeconomic phenomena.

Suitable for: Final year Economics (L100 / L101 / L102) and Econ/Stats (LG13) students as well as PPE students.

Prerequisites: Students must have taken ECON0019: Quantitative Economics and Econometrics in the previous year (or equivalent).

Assumed knowledge: Students should have a good knowledge of probability theory, statistics and econometrics at the level covered in, .e.g., Wooldridge, "Introductory Econometrics", Parts 1 and 2. This includes knowledge of Law of Large Numbers; Central Limit Theorem; linear regression; ordinary least squares; maximum likelihood estimation; asymptotic theory of estimators, incl consistency and asymptotic normality; testing, including t-statistics and F-statistics and their asymptotic distributions. They should feel comfortable solving theoretical questions involving all of these topics. They should have basic knowledge of the software package STATA.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 6)

Teaching and assessment

Mode of study
In person
Methods of assessment
80% Fixed-time remote activity
20% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
31
Module leader
Professor Dennis Kristensen
Who to contact for more information
r.maskell@ucl.ac.uk

Last updated

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

Ìý