Эконометрика и анализ данных

Магистратура 2022/2023

Статус: Курс обязательный (Экономика окружающей среды и устойчивое развитие)

Направление: 38.04.01. Экономика

Кто читает: Департамент мировой экономики

Где читается: Факультет мировой экономики и мировой политики

Когда читается: 1-й курс, 2-4 модуль

Формат изучения: с онлайн-курсом

Онлайн-часы: 24

Охват аудитории: для своего кампуса

Преподаватели: Алаташ Седат, Котырло Елена Станиславовна, Макеева Наталья Михайловна, Семерикова Елена Вячеславовна

Прогр. обучения: Экономика окружающей среды и устойчивое развитие

Язык: английский

Кредиты: 9

Контактные часы: 52

Full Syllabus Ask Question

Abstract

The purpose of the course is not only to give students new skills in both econometric tools and their application to contemporary economic problems, especially in environment problems analysis, but also to study theoretically econometric methods and to review some sections of econometrics on a solid theoretical background. The structure of the course also includes derivation of basic properties of estimation methods but excludes proofs of the most analytically sophisticated results. The main studying purpose of such topics is to clear understanding of econometric ideas, assumptions under which econometric approaches can be applied. At the same time, the students should get skills in reading and understanding of the most advance econometric articles.

Learning Objectives

The course aims to provide students with: • knowledge on the fundamentals of econometrics and its application • knowledge and proficiency on the use of statistical package R for econometric analysis • practice in conducting data analysis and application of econometric tools in research and analytics • a range of quantitative methods of policy evaluation • examples of their application • problems that arise when evaluating programs and policies • directions of further development in the area of policy evaluation • practical exercises that can help in research and analytic activity

Expected Learning Outcomes

Basic knowledge that will help you answer the following questions: • What is policy? • What would be the economic basis for your testimony? • Is there an objective theoretical justification for either policy? • How would you go about calculating the expected gains and losses from these proposed policies?
Have an ability to use computer software to perform statistical analysis on data (specifically, STATA).
Able to fit a logistic and linear regression model on a given dataset
Knows the main determinants of exchange rates, understands the role of expectations
Course gives opportunities to students to study how to apply econometrics and statistical software to model economic and financial processes, justify causal relations, find their main determinants and make forecasts.

Course Contents

Topic 1.1: OLS
Topic 1.2: Model Specification
Topic 1.3: Multicollinearity, Heteroskedasticity and Autocorrelation
Topic 1.4: Endogeneity and Instrumental Variables
Topic 2.1: Maximum Likelihood and Models with Limited Dependent Variables
Topic 2.2.: Time series econometrics. Univariate time series
Topic 2.3: Time series econometrics. Multivariate time series
Topic 2.4: Panel Data Analysis
Topic 3.1. Introduction. Randomization.
Topic 3.2. Propensity score matching
Topic 3.3. Difference-in-difference
Topic 3.4. Non-market valuation
Topic 3.5. Regression discontinuity.
Topic 3.6. Measuring distributional program effects

Assessment Elements

Test on part 1
Project Assignment
Test on part 2
Presentation on Part 3
Test on Part 3
Activity score

Interim Assessment

2022/2023 3rd module
0.3 * Test on part 1 + 0.3 * Test on part 2 + 0.4 * Project Assignment
2022/2023 4th module
0.3 * Presentation on Part 3 + 0.4 * Test on Part 3 + 0.3 * Activity score

Bibliography

Recommended Core Bibliography

Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics : Methods and Applications. New York, NY: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=138992
Econometric analysis of panel data, Baltagi, B. H., 2005
Elhorst, J. P. (DE-588)171025091, (DE-576)131852809. (2014). Spatial econometrics : from cross-sectional data to spatial panels / J. Paul Elhorst. Heidelberg [u.a.]: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.396630170
Jeffrey M. Wooldridge. (2019). Introductory Econometrics: A Modern Approach, Edition 7. Cengage Learning.

Recommended Additional Bibliography

A guide to modern econometrics, Verbeek, M., 2008
Thornton, M., & Hashimzade, N. (2013). Handbook of Research Methods and Applications in Empirical Macroeconomics. Cheltenham: Edward Elgar Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=609451

Authors

MAKAROVA EKATERINA ALEKSANDROVNA

Course Syllabus