LOG710 Econometrics

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Course Code
LOG710

Course Name
Econometrics

Credits
7.50

Prerequisites

Equivalent to requirements to the Master's degree programme and a good knowledge in statistics comparable to LOG708

Semester
Spring

Location
Molde

Language Instruction
English

Language Assignments and Evaluation
English

Language Literature
English

Instruction
2 hours of lectures per week. 2 hours excercises per week

Mandatory Assignments
1 individual assignment (pass or fail)

Evaluation
Individual home exam (100 %)

Grades
Letter (A - F)

Learning outcome

The objective is to introduce students to different econometric models which can be applied in Supply Chain Management and Logistics by giving students basic understanding of econometrics theories and applying econometric techniques of regression analysis. This course presents an elementary but comprehensive introduction to econometrics without resorting to matrix algebra and calculus. This knowledge will support the students in reading literature and articles based on econometric methods and to do empirical work related to their master theses.

Content
  • Multiple Regression Analysis
  • Dummy Variable Regression Models
  • Multicollinearity
  • Panel Data Regression Models
  • Simultaneous-Equation Models
  • Time Series Econometrics: Some Basic Concepts and Forecasting