Past Courses


2nd Short Course: “Panel Data Analysis” (June 23-26, 2014)

 Course Description

This course considers methodological and substantive issues concerning the analysis   of panel data. It starts by reviewing basic panel data models emphasizing the benefits   and limitations of panel data over time series or cross-section data. Basic estimation,   testing and forecasting methods for random and fixed effects models are reviewed   and illustrated with empirical applications using Stata and EViews. Next, problems of   endogeneity in panel models are studied and panel instrumental variable estimation   methods as well as Hausman type tests are reviewed and applied using empirical   applications. Dynamic panel models are studied next and Generalized Method of   Moments estimation as well as tests of over-identification restrictions are illustrated   using empirical applications. Other topics that will be covered include the treatment   of unbalanced panels, rotating panels, pseudo-panels, count panels, spatial panels,   attrition, selection bias and limited dependent variable panel models. For large macro   panels with a large number of countries observed over a long time series, we study   issues of non-stationarity (panel unit root tests) and cointegration in panels and   illustrate these methods using Stata and EViews.

Distinguished Guest Speaker

Professor Badi H. Baltagi, Syracuse University, U.S.A


  1. Ayşenur Acar Bahcesehir University
  2. Xanthippe Adamoglou University of Macedonia
  3. Lionel Almeida University Paris West Nanterre
  4. Liudmila Antonova Ca’ Foscari University of Venice
  5. Vasileios Biskas International Hellenic University
  6. Antonella Biscione University of Bari
  7. Vasiliki Bozani University of Cyprus
  8. Tanja Broz The Institutre of Economics, Zagreb
  9. Emmanouil Chatzigiannis Aristotle University of Thessaloniki
  10. Maria Christidou University of Macedonia
  11. Loredana Cultrera University of Mons
  12. Theologos Dergiades International Hellenic University
  13. Eleni Dalla University of Macedonia
  14. Thomai Filippeli Queen Mary University of London
  15. Romina Giuliano University of Mons
  16. Alexandra Gkoulgkoutsika Aristotle University of Thessaloniki
  17. Matti Hovi University of Tampere
  18. Sanna Huikari University of Oulu
  19. Jiao Ji Sheffield University Management School
  20. Roxani Karagiannis University of Macedonia
  21. Panagiota Karatasi University of Macedonia
  22. Florian Kaulich Vienna University of Economics and Business
  23. Kleopatra Koulikidou International Hellenic University
  24. Anastasios Kitsos Plymouth University
  25. Aleksandra Sylwia Kordalska Gdańsk University of Technology
  26. Merike Kukk Tallinn University of Technology
  27. Krzysztof Kusidlo Goethe Universitaet
  28. Nikolitsa Th. Lampropoulou University of Patras
  29. Anastasia Litina University of Luxembourg
  30. Ales Melecky Technical University of Ostrava
  31. Demetris Markou University of Central Lancashire
  32. Sufian Eltayeb Mohamed  Rustaq College of Applied Sciences
  33. Stergiani A. Moisiadou University of Macedonia
  34. Maurizio Mussoni University of Bologna
  35. Eleni Neofitidou University of Macedonia
  36. magdalena Olczyk Gdańsk University of Technology
  37. Thomas Panagiotou Athens University of Economics and Business
  38. Dionysios Polychronopoulos  Piraeus Bank
  39. Klaus Salhofer Technische Universität München
  40. Francesca Scaturro Università Politecnica delle Marche
  41. Christos Staboulis Aristotle University of Thessaloniki
  42. Irini Staggel  Piraeus Bank
  43. Myrto Tourtouri University of Thessaly
  44. Eftychia Tsanana  Aristotle University of Thessaloniki
  45. Maria Tsipouridou  University of Exeter Business School
  46. Theokleia Tzigka Economic Office of the Prime Minister
  47. Guillaume Vermeylen University of Mons
  48. Maria Vrachioli University of Macedonia
  49. Rafael Wildauer Kingston University London
  50. Paraskevi Vlachou  Piraeus Bank

Course Evaluation


On a scale of 1 to 10 (where “1” corresponds to “absolute dissatisfaction” and “10” corresponds to “absolute satisfaction”), how satisfied are you from:

 The teaching material (lecture notes) 6.30
 The interest of the topics covered in the Short Course 8.27
 The ability of the Short Course to improve your research standards 7.86
 The organization of the theoretical lectures (morning lectures) 8.50
 The organization of the practical sessions (computer lab) 7.89
 The communication with the teachers during the Short Course 8.89
 The communication with the organizers before the Short Course (by email) 9.40
 The communication with the organizers during the Short Course 9.20
 The dinner (if you went to dinner) 8.30
 The lunch in the university restaurant (if you went there) 7.50
The information available at our website 8.29


University Research Institute (Ε.Π.Ι. Πανεπιστημίου Μακεδονίας) Gutenberg Publishers KRITIKI Publishing S.A.
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So, what do you think ?