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Unit information: Applied Quantitative Research Methods in 2019/20

Please note: Due to alternative arrangements for teaching and assessment in place from 18 March 2020 to mitigate against the restrictions in place due to COVID-19, information shown for 2019/20 may not always be accurate.

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Applied Quantitative Research Methods
Unit code EFIM20010
Credit points 20
Level of study I/5
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Professor. Stephanie von Hinke
Open unit status Not open
Pre-requisites

EFIM10008 Mathematical and Statistical Methods 1

Co-requisites

None

School/department School of Economics
Faculty Faculty of Social Sciences and Law

Description

This unit aims to provide students with a functional understanding of econometrics, and the ability to interpret econometric models. The focus will be on the intuition and interpretation of the models. We will cover topics such as Ordinary Least Squares, instrumental variables, and time series. Students should be able to interpet output from these models as well as show knowledge of appropriate models to apply when presented with data. Students will be expected to develop a small mathematical understanding of the concepts underlying Ordinary Least Squares.

Intended learning outcomes

Students will be able to:

1. Show a functional ability to interpret econometric output from a variety of econometric models.

2. Recognise suitable econometric methods to address empirical questions.

3. Use computers to model empirical questions.

Teaching details

30 lectures (including exercise lectures)

9 classes

Assessment Details

Summative assessments

2.5 hour examination at the end of the relevant teaching block. This assesses the following learning objectives:

Functional ability to interpret econometric output.

Ability to recognise suitable econometric methods to address empirical questions.

Formative assessments through regular classes. These will assess the following learning objectives:

Ability to use computers to model empirical questions

Ability to recognise suitable econometric methods to address empirical questions

Reading and References

Gujurati, Damodar. Econometrics by Example

"Mastering Metrics" by Angrist and Pischke

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