Econometrics I: An Introduction to Modern Econometrics using Stata - EC542

Location Term Level Credits (ECTS) Current Convenor 2018-19
(version 2)
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6 15 (7.5) DR O Nizalova


EC500 Microeconomics, EC502 Macroeconomics, EC580 Introduction to Econometrics, EC581 Introduction to Time Series Econometrics,


65% threshold in each module: EC580 Introduction to Econometrics and EC581 Introduction to Time Series Econometrics



This is a 15-credit module in applied econometrics using Stata (the most popular general-purpose statistical software package used by empirical economists), for students who have followed Stage 1 modules in mathematics and statistics and who have taken the Stage 2 module in econometrics (EC580 and EC581) or equivalent. What distinguishes this module is the adoption of the modern learning-by-doing approach to teaching econometrics, which emphasises the application of econometrics to real world problems. The focus is on understanding the theoretical aspects that are critical in applied work and the ability to correctly interpret empirical results.


This module appears in:

Contact hours

20 lectures
4 seminars
5 terminal classes

Method of assessment

10% Problem Sets
7% In Course Test
13% In Course Test
70% Examination (2 hours)

Indicative reading

C F Baum, Introduction to Modern Econometrics Using STATA, STATA Press, 2006
J M Wooldridge, Introductory Econometrics – A Modern Approach (5th ed), South-Western, 2013 (International Student Edition)

See the library reading list for this module (Canterbury)

See the library reading list for this module (Medway)

Learning outcomes

By the end of the module you should be competent in the application of the mathematical and statistical tools used in econometrics and be able to:
• handle real data with confidence
• apply econometric methods of analysis to new circumstances
• understand the conditions under which particular estimators are appropriate
• apply the theoretical methods to numerical data
• write and present technical material lucidly.
You should understand the basic theory of the ordinary least squares (OLS), generalised least squares (GLS) and instrumental variable (IV) estimators and panel data models. You should be able to apply appropriate estimators to the type of numerical data given in seminar exercises and computing classes. You should also be able to interpret empirical results in applied economics literature.

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