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Description
Aims: To provide students with a thorough understanding of core techniques of quantitative economics and econometrics and their application to test economic theories and measure magnitudes relevant for economic policy and other decisions, as a foundation for subsequent study of quantitative topics within the degree programme, and as one of the key elements in the professional training of an economist.
Suitable for: This module is open to Term 1 Affiliates only. Full year students should see ECON0019. Students may take ECON0020 with the permission of the Affiliate Student Tutor but are advised to check with their home university that the single term option will fulfill the requirements of their home degree program.
Prerequisites: ECON0002: Economics, ECON0005: Statistical Methods in Economics, ECON0004: Applied Economics (or equivalents).
Assumed knowledge: Students should know the basic probability and statistics: probability models, conditional probability, independence, Bayes rule; discrete and continuous random variables; sampling and sampling distributions, point and interval estimation and hypothesis testing.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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