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Applied Econometrics

Course Instructor: Lecturer Athina Economou, ECTS credits: 5

Course Description

 The primary objective of this course is to provide the students with a good understanding of econometric models for cross-section, time-series and panel data and to provide a solid foundation for the assessment of empirical findings in economics research. The lectures will focus on both econometric theory and applied economic research. A wide range of tools that are applied in economic research will be discussed. Such topics will include Basic Econometric Analysis, Quantitative Models, Selection and Endogeneity, Time-Series Theory and Panel Data Models. Another goal of this module is for students to develop practical skills and get familiar with econometric programs (EViews, Stata) in order to be able to perform independent research.

 

Learning Objectives

Upon successful completion of this course, students should be able to understand more advanced estimation procedures and techniques and tackle real life problems with the use of economic data. In addition, students should be familiarized with the use of econometrics programs and be able to built, formulate and analyse data sets.

 

Bibliography

Halkos, G., 2011. Econometrics-Theory and Practice: Instructions in using Eviews, Minitab, SPSS and Excel, Gutenberg, Athens, Greece (in Greek).

Publications: Gutenberg. Οικονομετρία: Θεωρίακαιπράξη, (εκδ.) Γκιούρδας, Αθήνα.

Greene, W., 2003. EconometricAnalysis, 5thedition, Prentice Hall.

Gujarati, D., 2004. Basic Econometrics, The McGraw−Hill Companies.

Maddala, G.S., 1992. Introduction to econometrics, Prentice Hall.

Verbeek, M., 2004. A Guide to Modern Econometrics, 2nd edition, John Wiley & Sons, Ltd., 2004.

Wooldridge, J., Econometric Analysis of Cross-Section and Panel Data, The MIT Press, 2002.

Additional study material (research papers, books) will be recommended to students during lectures.

Assessment

  • 40%: Two empirical homework sets with real data (20% each set)

  • 60%: Final written exams

 

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