Using Tax Return Data to Simulate Corporate Marginal Tax Rates
John R. Graham and
Lillian Mills
No 13709, NBER Working Papers from National Bureau of Economic Research, Inc
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.
JEL-codes: G32 H25 M41 (search for similar items in EconPapers)
Date: 2007-12
New Economics Papers: this item is included in nep-acc and nep-pub
Note: CF PE
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Published as Using tax return data to simulate corporate marginal tax rates Author(s): Graham J R, Mills L F Journal: Journal of Accounting & Economics, Dec 2008, Volume: 46 Issue: 2 pp.366-388 (23 pages)
Downloads: (external link)
http://www.nber.org/papers/w13709.pdf (application/pdf)
Related works:
Journal Article: Using tax return data to simulate corporate marginal tax rates (2008) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:13709
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w13709
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().