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Objectives and competences

• Prepare students for independent research • Students acquire knowledge about panel models • Students learn how to o formulate the problem o apply the suitable modelling approach to economic data with the help of statistical software o interpret the results o research complex situations and processes with panel analysis methods o develop and innovatively use research methodology of panel metods • Students develop competences of analysis and synthesis in the framework of independent research work and also competences for the evaluation of the research work of other researchers.

Content (Syllabus outline)

1. Introduction • Multiple regression • Testing • Time series analysis basics 2. Panel data models • Introduction and basic notions • Applications 3. Fixed effects models • LSDV estimator • Within transformation and estimator • Fixed time effects 4. Random effects models • Generalized least squares • EGLS estimator • Hausman test 5. Examples of applications in economics and business 6. Additional topics • Generalized method of moments • Dynamic panel models • Panel unit root tests

Learning and teaching methods

Lectures Case studies Active individual or group work

Intended learning outcomes - knowledge and understanding

Development of Knowledge and Understanding The learner ? Knowledge base: has great depth and systematic understanding of a substantial body of knowledge. Can work with theoretical / research knowledge at the forefront of the discipline at peer reviewed standards/ publication quality ? Disciplinary methodologies: has a comprehensive understanding of techniques / methodologies applicable to the discipline (theory or research-based). Cognitive and Intellectual Skills The learner: ? Analysis: with critical awareness, can undertake analysis, managing complexity, incompleteness of data or contradictions in the areas of knowledge ? Synthesis: can synthesise new approaches, in a manner that can contribute to the development of methodology or understanding in that discipline or practice ? Evaluation: has a level of conceptual understanding and critical capacities that allows independent evaluation of research, advanced scholarship and methodologies. Can argue alternative approaches ? Application: can act independently and with originality in problem solving, is able to lead in planning and implementing tasks at a professional or equivalent level

Intended learning outcomes - transferable/key skills and other attributes

Key / Transferable Skills The learner: ? Problem solving: can continue own professional study independently, can make use of others professionally within / outside the discipline. Practical Skills The learner: ? Application of skills: can operate in complex and unpredictable / specialised contexts that may be at the forefront of knowledge. Has overview of the issues governing good practice

Readings

Osnovna literatura (Compulsory textbooks): 1. Verbeek, M. (2008). Modern Econometrics. New York: John Wiley & Sons. 2. Pfajfar, L. (2022). Osnovna ekonometrija. Ljubljana: Ekonomska fakulteta. Izbrani izvirni znanstveni članki iz nekaterih revij na področju metod panelne analize ter aplikacij (Selected research articles in the journals for methods for panel analysis and their applications). Dodatna literatura (Additional textbook): 3. Roodman, D. (2009). How to Do xtabond2: An Introduction to “Difference” and “System” GMM in Stata. Stata Journal, 9 (1), 86-136. 4. Greene, W.H. (2003). Econometric Analysis. New Jersey: Prentice Hall.

  • red. prof. Dr. techn. Republika Avstrija ALENKA KAVKLER, univ. dipl. mat.

  • Seminar paper: 60
  • Oral examination: 40

  • : 8
  • : 172

  • Slovenian
  • Slovenian

  • ECONOMIC AND BUSINESS SCIENCES - 1st
  • ECONOMIC AND BUSINESS SCIENCES - 2nd