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Regular version of the site

Econometrics II

2019/2020
Academic Year
ENG
Instruction in English
6
ECTS credits
Course type:
Elective course
When:
3 year, 1, 2 module

Instructors

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

  • It covers applied issues, such as the development of the research question, finding proxy variables, and adjusting an appropriate econometrics model
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
Assessment Elements

Assessment Elements

  • non-blocking quick tests
  • non-blocking Test 1
  • non-blocking Test 2
  • non-blocking Test 3
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    0.25 * quick tests + 0.25 * Test 1 + 0.25 * Test 2 + 0.25 * Test 3
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

  • 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