Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0304-3932(01)00105-2
Title: Marginal income tax rates in the United States: A non-parametric approach
Authors: Akhand, H.
Liu, H. 
Keywords: Average marginal tax rates
Non-parametric regression
State and local income taxes
Issue Date: 2002
Source: Akhand, H., Liu, H. (2002). Marginal income tax rates in the United States: A non-parametric approach. Journal of Monetary Economics 49 (2) : 383-404. ScholarBank@NUS Repository. https://doi.org/10.1016/S0304-3932(01)00105-2
Abstract: The objective of this paper is to estimate both the U.S. federal marginal income tax rate and the state and local marginal income tax rates. We use the non-parametric regression method and data on income and tax extracted from U.S. Individual Tax Model Files for the period 1985-1995. The flexibility of the non-parametric approach and the information at the individual level enable us to construct a more reliable time series of the average federal marginal income tax rates and that of the average state and local marginal income tax rates. Our results suggest that the average federal marginal income tax rate varies from 18.2% to 21.8%, and the average state and local marginal income tax rate varies from 4.7% to 5.6%. We also find that the state and local income tax accounts for roughly 18% of the total income taxes paid during 1985-1995. Moreover, our analysis shows that Stephenson (Journal of Monetary Economics 41 (1998), pp. 389-409) provides the most consistent tax rate series for use in applications that require estimates of tax rates for years prior to 1985. © 2002 Elsevier Science B.V. All rights reserved.
Source Title: Journal of Monetary Economics
URI: http://scholarbank.nus.edu.sg/handle/10635/22322
ISSN: 03043932
DOI: 10.1016/S0304-3932(01)00105-2
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

4
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

4
checked on Nov 22, 2017

Page view(s)

281
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.