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Using Tax Return Data to Simulate Corporate Marginal Tax Rates

John R. Graham
Duke University - Fuqua School of Business; National Bureau of Economic Research (NBER)

Lillian F. Mills
University of Texas at Austin - Red McCombs School of Business


September 21, 2007


Abstract:     
We document that simulated corporate marginal tax rates based on financial statement data (Shevlin 1990 and Graham 1996a) are highly correlated with simulated rates based on corporate tax return data. We provide algorithms that can be used to estimate the book or tax simulated rates when they are not available. We find that the simulated book marginal tax rate does a better job of explaining financial statement debt ratios than does the analogous tax return variable and discuss how the book simulated rate is likely to be an appropriate measure in settings with global, long-term considerations.

Keywords: marginal tax rate, simulated tax rates, tax return data, financial statements, book tax difference, capital structure

JEL Classifications: H25, M41, G32

Working Paper Series

Date posted: February 21, 2007 ; Last revised: October 02, 2007

Suggested Citation

Graham, John R. and Mills, Lillian F., Using Tax Return Data to Simulate Corporate Marginal Tax Rates (September 21, 2007). Available at SSRN: http://ssrn.com/abstract=959245


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Contact Information

John Robert Graham (Contact Author)
Duke University - Fuqua School of Business ( email )
Box 90120
Durham, NC 27708-0120
United States
919-660-7857 (Phone)
919-660-8030 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Lillian F. Mills
University of Texas at Austin - Red McCombs School of Business ( email )
Austin, TX 78712
United States
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