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.

Lists linked to Quantitative Methods with Policy Applications

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ECOM183 - Quantitative Methods with Policy Applications - 2024/25 2024-2025 Academic Year 13/06/2024 12:40:35
ECOM183 - Quantitative Methods with Policy Applications - February 2023/24 2024-2025 Academic Year 13/06/2024 12:05:11