Skip to main content Skip to navigation

EC203: Applied Econometrics

  • Thomas Martin

    Module Leader
30 CATS - Department of Economics

Principal Aims

This module allows students to develop an understanding of fundamental and intermediate concepts of statistical analysis, such as regression analysis. Students will also develop the capacity to apply statistical techniques to real world problems/data sets using the statistical package STATA.

Principal Learning Outcomes

Subject Knowledge and Understanding:...demonstrate understanding of random variables, associated distributions and moments; statistical estimation, estimator sampling distributions and population inference; causality and selection bias; experimental versus non-experimental data; simple linear regression (SLR) model, assumptions, interpretation and hypothesis testing; multiple linear regression (MLR) model, assumptions, interpretation and hypothesis testing; modelling non-linear relationships; dummy variables; interaction terms; the failure of MLR assumptions; tests and implications for hypothesis testing; problems of endogeneity; instrumental variables; short panel data methods; Stata.

Knowledge and understanding of:... (i) Economic Principles; core concepts and methods in macroeconomics. (ii) An awareness of the empirical approach to economics and social science. (iii) Reviewing and extending fundamental statistical concepts, including principal component analysis. (iv) Regression analysis, its extensions and applications.

Syllabus

The module will typically cover the following topics:

Review of random variables, associated distributions and moments; review of statistical estimation, estimator sampling distributions and population inference; causality and selection bias; experimental versus non-experimental data; simple linear regression (SLR) model, assumptions, interpretation and hypothesis testing; multiple linear regression (MLR) model, assumptions, interpretation and hypothesis testing; modelling non-linear relationships; dummy variables; interaction terms; the failure of MLR assumptions; tests and implications for hypothesis testing; problems of endogeneity; instrumental variables; short panel data methods; Stata.

Context

Optional Core Module
V7MR - Year 2
Optional Module
V7ML - Year 2, V7MP - Year 2, V7ML - Year 3, V7MP - Year 3
Pre or Co-requisites
EC120 for Economics students, including joint degrees (excluding GL11). IB122 for WBS students. EC106 or EC107 for all other students. QS104 with a mark of 65% (for LA99 students only) Modules: EC106-24 or EC107-30 or (EC121-12 and EC122-12 and EC125-6) or (EC123-12 and EC124-12 and EC125-6)
Restrictions
May not be combined with modules EC226-30

Assessment

Assessment Method
Coursework (40%) + 3 hour examination (Summer) (60%)
Coursework Details
Test 1 (12%) - Eligible for self-certification: No, Test 2 (13%) - Eligible for self-certification: No, Empirical Assignment (15%) - Eligible for self-certification: No, 3 hour examination (Summer) (60%) - Eligible for self-certification: No CATS:
Exam Timing
N/A

Reading Lists