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Regular version of the site
Contacts

109028, Moscow
Pokrovsky blvd. 11,
Room S-527
Phone: (495) 772-95-99 ext.27502, 27503, 27498

Administration
Department Head Svetlana B. Avdasheva
Deputy Department Head Liudmila S. Zasimova
Manager Maxim Shevelev
Book
Academic Star Wars: Excellence Initiatives in Global Perspective
In press

Yudkevich Maria, Altbach P. G., Salmi J.

Cambridge: MIT Press, 2023.

Book chapter
Science or industry: Improving the quality of the Russian higher education system

Panova A., Slepyh V.

In bk.: Vocation, Technology & Education. Vol. 1. Iss. 4. Shenzhen Polytechnic University, 2024.

Working paper
Living Standards in the USSR during the Interwar Period

Voskoboynikov I.

Economics/EC. WP BRP. Высшая школа экономики, 2023. No. 264.

Contacts

109028, Moscow
Pokrovsky blvd. 11,
Room S-527
Phone: (495) 772-95-99 ext.27502, 27503, 27498

Administration
Department Head Svetlana B. Avdasheva
Deputy Department Head Liudmila S. Zasimova
Manager Maxim Shevelev

Quantitative Approaches to Policy Evaluation and Impact Assessment

2022/2023
Academic Year
ENG
Instruction in English
4
ECTS credits
Type:
Elective course
When:
2 year, 2 semester

Instructor

Course Syllabus

Abstract

The aim of the course is to provide students with knowledge and skills of quantitative methods of ex ante and ex post policy evaluation. The course focuses on complexity of identifying the precise effects of a policy. It provides a comprehensive overview of methods and approaches in designing and evaluating programs and policies under uncertainty and confounding conditions. Several reform cases and their evaluation that will be presented in the course. The topics of the study are aimed to review various areas of economics, where policy evaluation can be implemented. The cases will be mostly based on Russian experience. As ex ante evaluation, a simulation and calibration of general equilibrium model will be demonstrated. Classes will include discussion on data sources and their quality, practice in empirical estimation of treatment effects, modelling of ex-ante impact assessment, and presentations of empirical research papers from the evaluation literature. The course will include the use of STATA, MS Excel, and GAMS. Use of R and other statistical analysis software is optional.