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Unit information: Applied Quantitative Research Methods in 2018/19

Please note: It is possible that the information shown for future academic years may change due to developments in the relevant academic field. Optional unit availability varies depending on both staffing and student choice.

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 Dr. Stephanie von Hinke Kessler Scholder
Open unit status Not open

EFIM10008 Mathematical and Statistical Methods 1



School/department School of Economics, Finance and Management
Faculty Faculty of Social Sciences and Law


This unit aims to provide students with a functional understanding of econometrics, and the ability to interpret econometric models such as instrument variables, difference-in-differences and regression discontinuity designs. Students should be able to interpret output from these models as well as showing 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 fortnightly 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