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Econometrics II

2020/2021
Учебный год
ENG
Обучение ведется на английском языке
7
Кредиты
Статус:
Курс обязательный
Когда читается:
3-й курс, 2, 3 модуль

Преподаватели

Course Syllabus

Abstract

This course provides students with skills in basic econometrics analysis for management studies. In addition, the course covers the theoretical aspect of linear and discrete choice models. These models are the most popular ones in econometrics analysis for management studies, and they are frequently used for empirical term papers and bachelor theses. In sum, the course provides a balanced study of applied and theoretical aspects of econometrics, all of which are necessary for basic econometric analysis.
Learning Objectives

Learning Objectives

  • Students master their skills in the linear regression analysis.
  • Students learn how to estimate the model with the binary dependent variable.
  • Students learn how to estimate FE and RE panel models
  • Students learn how to estimate Diff-in-Diff model
  • Students learn how to estimate simple time series models
Expected Learning Outcomes

Expected Learning Outcomes

  • Construct, test, and analyse econometric models, using variables and relationships commonly found in the studies of economic and management theory
  • Collect, organise, and analyse data, as well as interpret results from statistical analyses
  • Identify the desirable properties of estimators
  • Identify key classical assumptions in the field of econometrics, explain the significance of these assumptions, and describe the effects that violations of the classical assumptions can have
  • Interpret key statistics and diagnostics typically generated by software
Course Contents

Course Contents

  • The Linear Regression Model: an Overview
    This topic covers assumptions of the OLS estimator and reviews estimation methods that we use to estimate the multivariable regression model.
  • Regression with a Binary Dependent Variable
    In this part students learn how to estimate a regression model with the binary dependent variable.
  • Multinomial choice models
    In this topic we learn how to use multinomial choice model in the empirical research
  • Ordered Choice Model
    We discuss how to predict the ordinal dependent variable
  • Regression with Panel Data: theory
    We learn the basics of panel data analysis: FE and RE models. Basic tests.
  • Regression with Panel Data: case
    We discuss the real research using the panel data approach.
  • Experiments and Quasi-Experiments
    We learn the principles of imact evaluation and Difference-in-Differences method to evaluate the policy.
  • Regression with a Binary Vairiable II
Assessment Elements

Assessment Elements

  • non-blocking Home Assignments
  • blocking Exam (Lab work)
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.7 * Exam (Lab work) + 0.3 * Home Assignments
Bibliography

Bibliography

Recommended Core Bibliography

  • Stock, J. H., & Watson, M. W. (2015). Introduction to Econometrics, Update, Global Edition (Vol. Updated third edition). Boston: Pearson Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1419285

Recommended Additional Bibliography

  • Seemon Thomas. (2014). Basic Statistics. [N.p.]: Alpha Science Internation Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1663598
  • Wiśniewski, J. W. (2016). Microeconometrics in Business Management. Chichester, UK: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1071137