A Primer on Bayesian Inference for Accounting Research
Website + Replication code
Research
Publications
Forecasting Earnings Using k-Nearest Neighbor Classification
with Peter Easton, Martin Kapons, Steven Monahan,and Eric Weisbrod (2023)
The Accounting Review
Link | SSRN
Technological Changes and Countries’ Tax Policy Design: Evidence from Anti–Tax Avoidance Rules
with Alissa Brühne and Martin Jacob (2023)
Forthcoming: Management Science
SSRN
What Can Bayesian Inference Do for Accounting Research?
Single authored (2023)
Journal of Financial Reporting
Link | SSRN | Code
Accounting for Uncertainty: An Application of Bayesian Methods to Accruals Models
with Matthias Breuer (2023)
Review of Accounting Studies, Vol 28, pp. 726–768.
Link | SSRN | Code
Firm Valuation and the Uncertainty of Future Tax Avoidance
with Martin Jacob (2020)
European Accounting Review, Vol 29(3), pp. 409-435.
Link | SSRN
Does Going Private Add Value through Operating Improvements?
with Brian Ayash (2016)
Journal of Corporate Finance, Vol 40, pp. 192-215.
Link | SSRN
Working Papers
Uncertain Earnings Betas
with Matthias Breuer and Atif Ellahie (2023)
Working Paper
Segmentation in the Financial News Market - Measurement and Application
Single authored (2020)
Working Paper
SSRN | Appendix
