Econometrics and Statistical Programming

BAN431 Econometrics and Statistical Programming

  • 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 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 to acquire different types of data, and to what extend the variables in the data correspond to theoretical variables in economic models. Students will also learn about statistical (econometric) methods for analyzing and interpreting data. Further, about 40 percent of the course is devoted to implementing the methods in statistical software.

    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 be able to interpret and explain the results from econometric studies, and be able to conduct econometric studies of their own. To that end students will be introduced to the most important methods for causal analysis. In addition, they will learn how to implement the methods in Stata. After completing the course the students:

    Knowledge:

    - Know which assumptions empirical analyses are based on

    Skills:

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

    - Are able to analyze data using standard methods for cross section, panel and time series

    - Are able to work with advanced methods for causal analysis such as event studies, instrumental variable analysis and difference-in-difference regression models

    - Are competent in basic statistical programming in Stata

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

    - Are able to formulate an empirical research question

    General Competence:

    - Know how to structure a master thesis

    - Are able to analyze the causal effects of changes in corporate policy on business outcomes

  • 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 , BUS444, BUS444E or FIE401A/B

  • Requirements for course approval

    Requirements for course approval

    A midterm assignment written in English has to be approved

  • Assessment

    Assessment

    Standard written school exam 4 hours in English.

  • Grading Scale

    Grading Scale

    A-F

  • Computer tools

    Computer tools

    Stata

  • Semester

    Semester

    Autumn. Offered Autumn 2018

  • Literature

    Literature

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

    Materials posted on itslearning

Overview

ECTS Credits
7.5
Teaching language
English
Semester
Autumn

Course responsible

Associate Professor Floris Zoutman, Department of Business and Management Science.