Course unit details:
Cross Sectional Econometrics
Unit code | BMAN70211 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
This is a graduate core course unit that covers the econometric analysis of cross-sectional and panel data. It gives an overview of the standard methods for estimating and testing the linear regression model, discusses techniques for estimating models using instrumental variables and those with limited dependent variables, and provides an advanced treatment of static and dynamic panel data methodologies. The course covers several empirical applications in accounting, finance, and business economics, and provides some training on computer programming.
Pre/co-requisites
Aims
The course unit aims to:
• Provide students with a systematic knowledge and understanding of the econometric analysis of cross-sectional and panel data.
• Help students to appreciate the relevance and importance of using appropriate econometric methods in doing empirical research in accounting, finance, and business economics.
• Provide students with training in data management and analysis, and programming using standard statistical and econometric software (i.e., STATA).
• Help students to develop relevant quantitative research skills and techniques required to conduct empirical research using cross-sectional and panel data in accounting, finance, and business economics.
Learning outcomes
On completion of this unit successful students should:
• Understand and use appropriate methods for estimating and testing the linear regression model.
• Understand and use appropriate methods for estimating models using instrumental variables or those with limited dependent variables.
• Understand and use advanced estimators for static and dynamic panel data models.
• Appreciate and critically evaluate methods employed by cross-sectional and panel data studies in accounting, finance, and business economics.
• Develop programming skills required to manage and analyze cross-sectional and panel data.
• Develop quantitative research skills in conducting an empirical research project in accounting, finance, and business economics.
• Develop the ability to participate constructively in group work.
Assessment methods
Written Examination (100%)
Feedback methods
Office Hours
Online Learning Activities (discussions and self-assessment questions)
Drop in Surgeries (extra help sessions for students on material they may be struggling with)
Recommended reading
1. Wooldridge, J.M. (2016). Introductory Econometrics, 6th Ed. Cengage Learning.
An e-Book version of the text is available for sale in the publisher's website
A limited number of copies of these texts are available in the library.
Other texts (many copies of which are available in the library):
1. Most recent or earlier editions of Wooldridge’s Introductory Econometrics.
2. Stock, J.M. and Watson, M.W. (2015). Introduction to Econometrics, Global Edition, Pearson Education.
3. Maddala, G.S., Lahiri, K. (2009). Introduction to Econometrics. 4th Ed., Wiley.
4. Verbeek, M. (2012), A Guide to Modern Econometrics, 4th Ed., Wiley.
Other useful texts for STATA:
1. Baum, C.F. (2006) An Introduction to Modern Econometrics Using Stata, Stata Press.
2. Cameron, A.C. and Trivedi, P.K. (2010) Microeconometrics Using Stata, Stata Press. Additional reading consisting of relevant journal articles will be provided in due course.
Study hours
Scheduled activity hours | |
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Assessment written exam | 2 |
Lectures | 27.5 |
Practical classes & workshops | 11.5 |
Independent study hours | |
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Independent study | 110.5 |
Teaching staff
Staff member | Role |
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Viet Anh Dang | Unit coordinator |
Additional notes
Informal Contact Methods
Office Hours
Online Learning Activities (discussions and self-assessment questions)
Drop in Surgeries (extra help sessions for students on material they may be struggling with)