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# Econometrics II

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

#### Instructors Купера Александра Валерьевна

### 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

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

• 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

• quick tests
• Test 1
• Test 2
• Test 3 #### Interim Assessment

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