Students are expected to have a general understanding of the following concepts: random variables; basic probability distributions such as Gaussian, Student t, Chi-square and Fisher distributions; statistics such as expectation/mean, variance/standard deviation, correlation; hypothesis testing, p-values (i.e. critical thresholds for tests) and confidence intervals.
AACSB AoL 3C – Breakdown complex organizational problems using the appropriate methodology
AACSB AoL 5B – Construct expert knowledge from cutting-edge information
AACSB AoL 7A – Demonstrate an expertise on key concepts, techniques and trends in their professional field
AACSB AoL 7D – Be a reference point for expertise-related questions and ambiguities
Based on real datasets and practical applications (on Excel and Eviews), the lectures will cover the following topics:
– Correlation tests to check for linearity between variables;
– Simple linear regression;
– Multiple linear regression;
– Graphical investigation of breaks in time series and usage of dummy variables;
– Validation of regressions (i.e. fulfillment of key OLS assumptions, residuals’ autocorrelation and heteroskedasticity)
– Use and limitations of linear regressions.
