MSc Development Finance / Course details
Year of entry: 2023
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Course unit details:
Research Skills for Economic Development 1 (Quantitative Methods)
|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|
The course unit covers theory, relevant applications and practical exercises in computer workshops. Much emphasis is placed on developing experience and confidence in the use of statistical software. Empirical work, using alternative forms of regression analysis, forms an increasingly important foundation for policy analysis and evidence based policy advice in economics and other branches of the social sciences. Therefore, acquiring competence in this field through the course will be of great value to development practitioners as well as those aiming for academic and other development-related careers.
The unit aims to enable students through development of theoretical insights and practical skills to become:
- Competent users of statistics and econometrics methods.
- Able and critical readers of academic articles with empirical contents
On completion of this unit successful students will be able to:
Knowledge and understanding
- Explain the theoretical foundation of multiple regression analysis and effectively address common violations of the standard assumptions of the classical regression model.
- Explain the techniques for econometric analysis of cross sectional data analysis.
- Apply concepts in statistics and econometrics and critique statistical and econometric results presented in published articles and journals.
- Employ concepts in statistics and econometrics to examine and analyse cross-section and time series data.
- Produce empirical work, using alternative forms of regression analysis.
- Analyse and interpret regression results.
Transferable skills and personal qualities
- Use STATA software package for conducting multivariate regression analysis, interpreting results, and testing for violations of the assumptions of the classical linear regression model.
- Examine published empirical work with statistical and econometric contents.
- Apply skills acquired in the module in quantitative dissertation writing.
- Analytical skills
- Analyse data and interpret results for policy decision making.
- Collect relevant empirical data and organise them using appropriate tools.
- Develop skills that are relevant and needed in research institutes, financial institutions, Ministries, NGOs etc.
Feedback on the assessments via Blackboard within SEED’s guidelines.
|Scheduled activity hours|
|Practical classes & workshops||10|
|Independent study hours|
|Lawrence Ado-Kofie||Unit coordinator|