Kevin Standridge

I develop new empirical methods, drawing on econometrics, causal inference, and machine learning, to answer open questions in accounting. My research centers on tax policy, innovation, and accounting labor markets, using quasi-experimental designs to study problems like individual tax avoidance, the retreat from corporate innovation, and the economic value accountants create. I hold a Ph.D. in Accounting from Duke University and a Masters of Accounting from Brigham Young University.

Publications

1. Estimating profitability decomposition frameworks via machine learning: Implications for earnings forecasting and financial statement analysis

   with Oliver Binz and Katherine Schipper · Journal of Accounting and Economics (2025)

2. Social Tax Discontent and Individual Tax Avoidance

   with Andrew Belnap, Jake Thornock, and Brady Williams · The Accounting Review (Forthcoming)

Working Papers

1. The (In)adequacy of Legal Contingency Reporting

   with Abigail Allen and Jake Thornock

   Under 3rd round review · Review of Accounting Studies

2. Do Accountants Increase Economic Activity?

   with Suresh Nallareddy and Elizabeth Blankespoor

   Revise & resubmit · Journal of Accounting Research

3. Hedge Fund Activism and the Retreat from Corporate Science

   with Elia Ferracuti and Rahul Vashishtha

4. Accountants as Mediators of Macroeconomic Shocks: Evidence from Small and Medium Enterprises

   with Sara Malik and Emma Haithcock

5. Tax Spillover in Investment: Evidence from Bonus Depreciation and Innovation

   with Spyridon Gkikopoulos and Stephen Glaeser

6. Markets Are All You Need: Causal Inference with Unobserved Exposure

   Solo authored