An accounting research course book

For those of you involved in academic accounting research, please check out the work-in-process draft of the course book that I have been writing with University of Melbourne colleague Tony Ding. While you will see that some parts of the book need more work, Part III: Causal inference is largely complete and it alone could provide the core of a one-quarter or one-semester course on causal inference at the PhD level.

Among the distinctive features of the book are the inclusion of code for replicating many papers (code to produce every analysis in the book has been included) and a hands-on approach to understand methods such as instrumental variables, RDD, and matching. One hope with the book is that it helps students pick up data analysis skills that might be useful in the real world (e.g., while honours students at the University of Melbourne do research, most pursue careers in industry). More on the goals of the book can be found here.

Our current work plan for the book can be found here. We welcome feedback, especially from using the materials in the classroom. The plan is to finish the book over the remaining months of 2022 as I wrap things up in academia.