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1 Gavin Ekins, October 2015 Taxes and Growth Model Update 1 (2015)

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October 2015


Taxes and Growth Model Update

By Gavin Ekins PhD
    Research Economist



The Taxes and Growth (TAG) Model is constantly improved to maintain an up-to-
date database of economic factors and to keep pace with new techniques from the
economic modeling community. To ensure transparency with the public, the Tax
Foundation institutes semi-annual updates of the TAG model. Each estimate from
the TAG Model reported by the Tax Foundation identifies the version of the model
being used. In general, the model updates follow the release of the Congressional
Budget Office's updates to the Budget and Economic Outlook. All model analyses of
tax policies after an update employ the same model version until the next release.


The formalized revision schedule has two functions: consistency and quality control.


One of the objectives of the TAG Model is to make it easier to compare different
tax proposals. For maximum consistency when comparing proposals, the model's
parameters and features should be held constant between analyses. However, for
the estimates to be as accurate as possible, model changes need to be made as new
data becomes available, new features are added, and new techniques are developed
in the economic modeling community and incorporated in the model. The tension
between maintaining consistent scores and improving the TAG Model is addressed
by the semi-annual model updates and stating the version of the TAG Model used to
produce an estimate.


The regular update schedule provides opportunities for others in the economic
modeling community to comment on the twice-yearly revisions to the TAG Model
and recommend changes for the following update. Using the academic approach of
public debate, the Tax Foundation hopes to enhance the accuracy of the TAG Model.
The Tax Foundation welcomes constructive comments on the TAG Model and any of
the following updates.


Please contact ekins@taxfoundation.org with comments or questions regarding the
TAG Model.


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