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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 - 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.

Number of Pages in PDF File: 48

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

JEL Classification: H25, M41, G32

working papers series


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Date posted: February 21, 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 or http://dx.doi.org/10.2139/ssrn.959245

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 - McCombs School of Business ( email )
Austin, TX 78712
United States
Feedback to SSRN (Beta)


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