Аспирантура
2021/2022


Количественные методы оценки реформ и регулирующих воздействий
Статус:
Курс по выбору
Направление:
38.06.01. Экономика
Кто читает:
Департамент прикладной экономики
Когда читается:
2-й курс, 2 семестр
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Котырло Елена Станиславовна
Язык:
английский
Кредиты:
4
Контактные часы:
40
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.The course provides students with: a range of quantitative methods of policy evaluation and impact assessment;examples of their application;problems that arise when evaluating programs and policies;directions of further development in the area of policy evaluation and impact assessment;practical exercises that can help in research and analytic activity.
Learning Objectives
- The course provides students with: a range of quantitative methods of policy evaluation and impact assessment; examples of their application; problems that arise when evaluating programs and policies; directions of further development in the area of policy evaluation and impact assessment; practical exercises that can help in research and analytic activity.
Course Contents
- Introduction
- Randomization
- Propensity score matching
- Difference-in-difference approach
- Endogenous Treatment. Instrumental variables
- Binary outcome models with endogenous treatment
- Switching regression with endogenous treatment
- Regression discontinuity design
- Measuring Distributional Program Effects. Quantile regression
- Computable General Equilibrium Model
- Using Economic Models to Evaluate Policies
Interim Assessment
- 2021/2022 2nd module0.3 * activity score + 0.4 * exam + 0.3 * homework essay
- 2021/2022 2nd semester0.3 * activity score + 0.4 * exam + 0.3 * homework essay