Econometrics for Business Research

BUS444 Econometrics for Business Research

  • Topics

    Topics

    Modern companies produce large amounts of data. These data can have great value both as inputs to internal management and for analysts outside the company. The objective of this core course is to make students critical consumers of statistical analysis. To that end, students will learn how to obtain and analyze firm data. During the course, students will learn how different types of data can be obtained, how they can ensure that data is reliable, and to what extend the variables in the data correspond to theoretical variables in economic models. Furthermore, students will be introduced to statistical (econometric) methods for analyzing and interpreting data. The course will have a clear focus on applications in business administration. Students will use data from financial markets as well as Norwegian accounting data from the registry Brønnøysundregisteret. Applications will include both regressions used for forecasting purposes and regressions used as tools to reveal causal relationships.

  • Learning outcome

    Learning outcome

    After having completed the course, the students will have a working knowledge of the ordinary least squares method (OLS) and its limitations. In addition, the students will know standard procedures for adapting OLS when the classical assumptions are not satisfied. The students will also be able to interpret and explain the results from econometric studies, and be able to conduct econometric studies of their own. After completing the course the students will:

    Knowledge:

    - Know how to structure a master thesis

    Skills:

    - Be able to identify, collect, and organize relevant data

    - Be able to analyze data using standard tools for cross section, panel and time series

    - Be able to interpret results from empirical analyses and identify potential weaknesses

    - Be able to formulate an empirical research question

    General Competence:

    - Understand which assumptions empirical analyses are based on

  • Teaching

    Teaching

    • Lectures
    • Group Exercises

  • Required prerequisites

    Required prerequisites

    Bachelor level statistics and mathematics.

  • Credit reduction due to overlap

    Credit reduction due to overlap

    The course cannot be combined with ECN402 or FIE401A/B.

  • Requirements for course approval

    Requirements for course approval

    A midterm assignment written in English has to be approved.

  • Assessment

    Assessment

    Written school exam, 4 hours in English.

  • Grading Scale

    Grading Scale

    A-F

  • Computer tools

    Computer tools

    Stata

  • Semester

    Semester

    Spring and autumn

  • Literature

    Literature

    R. Carter Hill, William Griffiths og Guay C. Lim: «Principles of Econometrics» 4.edition

    Materials posted on Canvas

Overview

ECTS Credits
7.5
Teaching language
Autumn semester:English  Spring semester: Norwegian
Semester
Spring

Course responsible

Spring semester: Associate professor Arnt Ove Hopland, Department of Business and Management Science

Autumn semester: Associate professor Floris Zoutman, Department of Business and Management Science