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Microeconomics and Panel Data

2020/2021
Academic Year
ENG
Instruction in English
3
ECTS credits
Course type:
Elective course
When:
2 year, 2 module

Course Syllabus

Abstract

Econometrics is a powerful tool for verifying theories in economics and management. We use econometrics to evaluate outcomes of policy decisions, to find causal relationships between two events, to examine theories in economics or management. This course provides PhD students with skills in econometrics of cross-sectional and principles panel data analysis. It is applied for the course and we cover applications of the most important econometric models for economic or management studies. PhD students have to learn the limitations of the most widely used methods and should be able to apply them for research exercises.
Learning Objectives

Learning Objectives

  • Be able to select the most appropriate econometrics estimator taken into account problems in the dataset, research question, and available variables
  • Be able to estimate and adjust the econometric model taken into account problems in the dataset, research question, and available variables
  • Be able to develop an econometric strategy for the defined research
  • Be able to prepare econometric reports for the research journals
Expected Learning Outcomes

Expected Learning Outcomes

  • be able for using critical thinking and evaluation of recent studies in major and multidisciplinary fields
  • be able to use modern methods and technologies for communications in academia
  • be able to set purposes and tasks of a research project on fundamental and applied research
  • be able to solve research problems using the updated national and international experience and modern ICT
  • be able to conduct research activity in an educational institutions and management of students' research activity
Course Contents

Course Contents

  • Essential Probability and Statistics for Econometrics
  • Core Methods
  • Models for Panel Data
  • Models for Cross-Sectional Data
Assessment Elements

Assessment Elements

  • non-blocking Exercise 1
  • non-blocking Exercise 2
  • non-blocking Paper replication
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    0.2 * Exercise 1 + 0.3 * Exercise 2 + 0.5 * Paper replication
Bibliography

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
  • 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

  • Rohatgi, V. K., & Saleh, A. K. M. E. (2015). An Introduction to Probability and Statistics (Vol. 3rd edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1050364
  • 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