EH426 Half Unit
Quantitative Topics in Economic History I: Cross-section and panel data
This information is for the 2013/14 session.
Dr Tamas Vonyo CMK.C316
This course is available on the MA Global Studies: A European Perspective, MSc in Economic History, MSc in Economic History (Research) and MSc in Global History. This course is available with permission as an outside option to students on other programmes where regulations permit.
Students enrolled for this course are expected to have completed the equivalent of undergraduate courses in econometrics and intermediate economic theory.
The course will provide an overview of quantitative approaches in economic history using primarily cross-section and panel data. The course examines the use of quantitative techniques through practical exercises and critical discussion of their application in recent literature. Techniques discussed will include multiple regression analysis, limited dependant variables, instrumental variables, and models used for decompositions and the analysis of self-selection, as appropriate. The course is organised on a topic basis, with subjects chosen to illustrate particular theoretical, quantitative or methodological issues.
20 hours of seminars in the MT.
Two papers or presentations during the term; fortnightly quantitative exercises.
M Bordo, A Taylor, J Williamson (2003), Globalization in Historical Perspective; Y S Brenner, H Kaelble & M Thomas (eds) (1991), Income Distribution in Historical Perspective; Clark, G (2007), A Farewell to Alms; R Findlay, K O'Rourke (2009), Power and Plenty; N Ferguson (2009), The Ascent of Money; M Obstfeld, A Taylor (2004), Global Capital Markets; C Feinstein, P Temin, G Toniolo (1997), The European Economy Between the Wars; B van Ark & N Crafts (eds), Quantitative Aspects of Postwar European Economic (1996).
Exam (100%, duration: 2 hours) in the main exam period.
Department: Economic History
Total students 2012/13: 6
Average class size 2012/13: 2
Value: Half Unit
Personal development skills
- Team working
- Problem solving
- Application of information skills
- Application of numeracy skills
- Specialist skills