Ph.D Course
Welcome to the course page for my Accounting Ph.D. seminar. These are syllabi, notes and problem sets I assign in various versions of the course. At Baruch, this seminar is taught jointly with other empirical faculty at Baruch College with the format of a few theory sessions on a topic to be followed with an empirical session moderated with an empirical faculty. I am also posting problem sets that I use for grading the course (most of these problem sets are based on published research papers), and I can provide my own typed up keys if you are interested; I do not post them online so that they may be, if needed, used by any interested person teaching a similar course.
Ph.D course (in slides format)
joint course with Edwige Cheynel
Session 1: Voluntary Disclosure: Fundamentals
Session 2: Voluntary Disclosure: Dynamics
Session 3: Theory-Based Estimation
Session 4: Applications of Theory-Based Estimation to Disclosure Theory
Session 5: Earnings management
Session 6: Lab session on structural estimation (no slides)
Session 7: Cost of Capital - symmetric information
Session 8: Cost of Capital - asymmetric information
Session 9: Bayesian Persuasion
Session 11: Accounting as a Political Choice
Folder with source files (feel free to re-use and modify)
Older PhD Course (in notes format)
Problem Set 1: Risk-neutral agency
Problem 2: Voluntary disclosure
Chapter III: Earnings Management
Chapter IV: Rational Expectations Theory
I hope you enjoy the course and please let me know if you have any suggestions!
Jeremy