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Academic Supervisor

Larionov, Alexander

Manager

Smyslenova, Ekaterina

101000 Москва / Moscow,
Myasnitskaya str, 9/11, room. 529 (Manager)

Tel: +7 (495) 772-95-90*22624
101000 Москва/Moscow

E-mail:
alarionov@hse.ru (Academic Supervisor)
magfsn@hse.ru (Manager)

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Delivered at:: Department of Higher Mathematics (Independent HSE Departments)

Course type:: Elective course

When:: 1 year, 3, 4 module

Instructor

Salnikova, Daria

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Abstract

This course is a gentle introduction to modern applied statistics and econometrics. The course is based on the following principle: first, idea and formal description of mathematical concepts are given, second, these concepts are applied to real-world problems. The course has three main chapters: panel data analysis, causal inference and categorical data analysis. Usage of Python helps to apply statistical techniques to real data. Econometrics is a collection of mathematical tools which helps to forecast variables, find new dependences and test theories.

Master’s Programme 'Population and Development'

Statistical Analysis II

Instructor

Course Syllabus

Abstract