Module code: ECOM183
Credits: 15.0
Semester: YEAR
Contact: Prof Giulio Fella
This module aims at familiarizing students with the most widely used and up-to-date methodologies and approaches of contemporary applied econometric data analysis. After reviewing fundamental concepts in probability theory and statistics, the module will analyse issues of sampling, linear regression models, causality and endogeneity, alternative data structures (i.e. cross-sections, time series and longitudinal data), Maximum Likelihood methods and policy evaluation.
Connected course(s): UDF DATA
Assessment: 60.0% Coursework, 40.0% Examination
Level: 7
