Stata Camp
Creating regression output tables is a major part of the research process. Stata makes this part of the process a breeze. With Stata's built-in outreg2 function, you can easily create beautifully-formatted Excel regression output tables.
The Accounting Coding Camp curriculum is designed to follow the research process that we, as researchers, typically undertake. We use SAS or Python to create, merge and clean data, create variables, and prepare data for regression analysis. We then export the data to Stata to run our regression analyses and create output tables.
This Stata mini camp will get you quickly up-to-speed on the basics of the Stata environment. You will then learn how to estimate regressions and how to create and format regression output tables.
Course Curriculum
Meet the Instructor
Josh Lee is an associate professor of accounting in the Marriott School of Management at Brigham Young University (BYU). Prior to joining BYU, he was a tenured associate professor of accounting at the University of Georgia and also previously worked as an assistant professor of accounting at Florida State University. He completed his doctoral studies at the Olin Business School at Washington University in St. Louis (WashU). He earned his undergraduate and master's degrees in accounting at BYU.
Josh learned to code in Python and Stata as a doctoral student at WashU. He now teaches a Python Data Analytics course for Masters of Accounting students at BYU.
Josh's research interests are centered around capital markets and voluntary disclosure with an emphasis on textual analysis and machine learning. His research has been accepted for publication at the Journal of Accounting & Economics, The Accounting Review, Journal of Financial Economics, and Review of Accounting Studies. His research has been cited or featured in Bloomberg, CFO.com, Financial Times, and IR Magazine.