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Economics

EC203: Applied Econometrics

Han Zhang

Module Leader

  • Han Zhang

    Module Leader

  • Thomas Martin

    Module Lecturer

Total students will not give an accurate representation of student numbers until module registration is complete

168total
students
40total
lecture hours
20total
seminars
60total
contact hours
15/30 CATS - Department of Economics
Summer Module
Spring Module
Autumn Module

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 including analysis of economic decisions in microeconomics. (ii) An awareness of the empirical approach to economics and social science. (iii) Reviewing and extending fundamental statistical concepts, including causal analysis and (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

Core Module
L1L8 - Year 2
Optional Core Module
R3L4 - Year 2
Optional Module
V7ML - Year 3
Pre or Co-requisites

Any of

EC106-24 Introduction to Economics OR

EC107-30 Economics 1 OR

All of

EC139-15 Mathematical Techniques A and

EC122-15 Statistical Techniques A OR

All of

EC140-15 Mathematical Techniques B and

EC124-12 Statistical Techniques B OR

All of

IB122-15 Business Analytics

Summary:

Modules: EC106-24 or EC107-30 or (EC139-15 and EC122-12) or (EC140-15 and EC124-12)

Restrictions
May not be combined with modules EC226-30

Assessment

Assessment Method
Coursework (50%) + Examination (50%)
Coursework Details
Empirical Assignment (10%) , Empirical Assignment (20%) , Examination (50%) , Test 1 (10%) , Test 2 (10%)
Exam Timing
Summer

Exam Rubric

Time Allowed: 3 Hours, plus 15 minutes reading time during which you may make notes on the question paper. You must not start writing in your answer booklet until you are instructed.

Read all instructions carefully - and read through the entire paper at least once before you start entering your answers.

There is ONE section in this paper. Answer ALL questions (10 marks each).

Answer each whole question in a separate booklet.

Approved scientific (non-graphical) pocket calculators are allowed. Statistical Tables and a Formula Sheet are provided.

Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.

Reading Lists