DRE 3400 Analytical Accounting Research

DRE 3400 Analytical Accounting Research

Course code: 
DRE 3400
Department: 
Accounting and Operations Management
Credits: 
6
Course coordinator: 
Christopher Bleibtreu
Course name in Norwegian: 
Analytical Accounting Research
Product category: 
PhD
Portfolio: 
PhD Accounting courses
Semester: 
2025 Spring
Active status: 
Active
Level of study: 
PhD
Teaching language: 
English
Course type: 
One semester
Introduction

The course provides students with tools to understand and build models that help answering research questions in the field of accounting. The course focuses on four widely used paradigms in accounting research, that is, agency theory, disclosure theory, signaling theory and rational expectations theory. It will prepare students to conduct analytical accounting research themselves but will also be helpful to students who want to conduct empirical research (especially wrt. hypothesis development). 

Learning outcomes - Knowledge
  • Students will gain a comprehensive understanding of different model classes used in analytical accounting research. They will understand the respective strengths and weaknesses of the different model classes.  

  • Students will know how to evaluate accounting models focusing on their general suitability for the respective research question and their underlying assumptions.  

  • Students will gain an understanding that an ideal research process works as some form of feedback loop. Formal theory is the fundament for empirical hypotheses, but empirical results need to be considered when developing new theories.  

Learning outcomes - Skills
  • Students will develop skills in analytical research design, including the ability to formulate research questions that might be answered by applying analytical modelling.  

  • Students will be able to identify the model class suitable to investigate a certain research question. They will also be able to build a model to address specific research questions.  

  • Students will be able to identify differences between theory and empirical fact. They will be able to use theoretical restrictions to guide empirical analysis.  

  • Students will be able to present analytical research findings in an understandable way, both in written form and in presentations.  

General Competence

Students will develop a way of “analytical thinking” that enables them to question (potentially premature) conclusions on certain observations.  

Course content
  • Agency theory 

  • Disclosure theory 

  • Signaling theory 

  • Rational expectations theory 

Teaching and learning activities

The course will be held every two weeks in one semester. It will include a combination of lectures, class discussions and student presentations. For each course meeting, students prepare by reading and analyzing research papers that are assigned in advance.  

Software tools
No specified computer-based tools are required.
Qualifications

Enrollment in a PhD Programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the courseleader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Submission PDF
Exam/hand-in semester: 
First Semester
Weight: 
40
Grouping: 
Individual
Duration: 
1 Semester(s)
Comment: 
Referee report on an assigned research paper
Exam code: 
DRE 34001
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Exam category: 
Submission
Form of assessment: 
Submission PDF
Exam/hand-in semester: 
First Semester
Weight: 
60
Grouping: 
Individual
Duration: 
1 Semester(s)
Comment: 
Research proposal for an analytical research paper
Exam code: 
DRE 34002
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
100
Student workload
ActivityDurationComment
Group work / Assignments
50 Hour(s)
Student's own work with learning resources
100 Hour(s)
Teaching
30 Hour(s)
Lectures and class discussions
Sum workload: 
180

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.