Master 2025/2026

Econometrics (Advanced Level II)

Type: Elective course (Economics and Economic Policy)

Delivered by: Department of Applied Economics

When: 1 year, 3, 4 module

Open to: students of one campus

Instructors: Elena Kotyrlo

Language: English

Contact hours: 76

Course Syllabus

Abstract

The course “Advanced Econometrics II” focuses on the estimation, inference and identification of regression models. Particular attention is paid to the econometric theory, to the application of econometrics to real-world problems, and to the interpretation of the estimation results. The course is focused on issues in limited variables models, time series models; dynamic panel data models; policy evaluation; generalised method of moments; nonparametric and semiparametric models. Optional topics are duration models, spatial econometrics, quantile regression, Bayesian estimation, big data analysis. The course will include the use of STATA and MS Excel. Use of R and other statistical analysis software is optional.