Description
Aims: This module is about the analysis of data within economics, and the interpretation of empirical results. More specifically the moudle aims are to:
- Provide an introduction to the application of economic theory to data
- Develop an understanding of simple and commonly used econometric techniques
- Impart an ability to understand and interpret results both statistically and economically
- Introduce you to widely used software in applied economics (STATA)
Suitable for: Compulsory for 1st year BSc Economics (L100, L101 and L102) and 2nd year BSc SCORE / SOREL (GLN0 / GLR0) students.
Optional for 1st year BSc Economics and Statistics (LG13) and BA Philosophy and Economics (VL51) students and 2nd year BSc Economics and Geography (LL17) students considering taking ECON0019: Quantitative Economics and Econometrics.
Prerequisites: Knowledge of basic statistics taught on introductory modules, such as ECON0005: Stats Methods in Economics (or STAT0021 / STAT0022 from the Statistical Science department), is assumed. It is also desirable that students should be enrolled for, or have already taken, ECON0002: Economics or equivalent.
Assumed knowledge: Students coming in to the course should have a good knowledge of introductory statistics. Students should be familiar with basic probability and calculus. Students should know consumer theory. They should understand supply and demand analysis.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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