BUSM112 Applied Empirical Methods
The module provides a non-technical overview of quantitative methodologies frequently used in finance and international business research.
The module is data driven and covers the basics of: Hypotheses testing, OLS and Logistic Regression Analysis, Instrumental Variables, Time Series Analysis, Panel Data Models, Differences-in Differences, Sharp and Fuzzy Regression Discontinuity. The module also teaches how to apply these methods using STATA (a leading econometrics software).
The aims of the module are:
a) Introduce and critically analyse the quantitative methodologies frequently used in finance and international business
b) Critically evaluate datasets with structure common in business and finance research using experimental and observational quantitative methods
c) Apply the quantitative methods learned during module using in STATA, a popular econometric software
50% examination, 50% coursework