Course Information Package

Course Unit CodeMBA515
Course Unit DetailsMBA Business Administration (MBA) (Required Courses) -
Number of ECTS credits allocated5
Learning Outcomes of the course unitBy the end of the course, the students should be able to:
  1. Acquire knowledge on basic and multiple regression analysis and its extensions (quadratics, logarithms, and dummy variables).
  2. Discuss estimation of various relationships, interpretation and derivation of estimation parameters of multiple regression analysis.
  3. Discuss testing hypotheses about a single population parameter or linear combinations of the parameters as well as testing linear restrictions.
  4. Apply logit and probit models (used especially in studies who rely in the use of questionnaires and studies with probabilities).
  5. Explain applied panel data methods, since they are highly used in sciences such as economics and finance. This includes fixed effect and random effect estimation procedures.
  6. Apply empirically these methods for various applications using real data and the appropriate software.
  7. Show how all these can be applied in their master thesis.
Mode of DeliveryFace-to-face
Recommended optional program componentsNONE
Course Contents

SimpleRegression: Relationship between two variables and estimation of thecoefficients / parameters.

MultipleRegressions: Relationship between more than two variables.  Estimation and explanation of the results.Interpretation of the coefficients. Significance of the coefficients.

Extensions:Include in the regression logarithms, quadratics (for nonlinear relationships)and dummy variables (qualitative information)


Basichypothesis testing: Testing a single parameter (significance), and linearcombinations of the parameters.

Introductionto logit and probit models: Models in which the explanation of results has todo with probabilities. Estimation and interpretation of the results.

Paneldata methods: Estimation using methods for panel data. This includes the fixedeffect and random effect estimation procedures. Explain differences between thetwo methods. Show a statistical test used to choose which one is appropriatefor the data obtained (Haussman test). Obtaining the results andinterpretation.

Recommended and/or required reading:
  • Wooldridge, J. (2002). Introductory Econometrics: A modern approach, South-Western College Pub.
  • Stock J. and M. Watson (2002), “Introduction to Econometrics”, Addison Wesley
  • Greene, W. H. (2007). Econometric Analysis. Prentice Hall
  • Johnston, J. and Dinardo, J. (1996). Econometric Methods. McGraw-Hill/Irwin
    Planned learning activities and teaching methods

    The course utilizes face-to-facelectures of about two months. With the completion of topics the lecturer assignsonline quizzes and group projects on the e-learning platform. At the end of thetwo month period invited speakers and seminars are organized for about 4-6 contacthours and the students also prepare for their final exams.

    Assessment methods and criteria
    Online Quizzes20%
    Final Exam50%
    Language of instructionEnglish
    Work placement(s)NO