Multivariate Analysis
Translated from VietnameseFaculty of Interdisciplinary StudiesDepartment of Public Finance and Taxation
Description
Teaching Objectives: To help students understand advanced econometrics and multivariate analysis, and to equip them with the knowledge and skills to apply econometric tools. Teaching Content: 1. Basic time series analysis 2. Panel data models 3. Program evaluation 4. Principal component analysis 5. Factor analysis 6. Canonical correlation analysis. Grading: 30% regular assignments, 30% midterm exam, 40% final exam. Required textbooks and references: 1. Hill, Griffiths, Lim: Principles of Econometrics 2. Wooldridge: Introductory Econometrics 3. Chen Shunyu: Multivariate Analysis.
Course outline
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M0H13140 has possible credit equivalents including D0M62C at KU Leuven.