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Estimating State Income-Tax Revenues: A New Approach

Authors: Singer, Neil M;

Estimating State Income-Tax Revenues: A New Approach

Abstract

,3, of course, is the estimate of _qTY in the logarithmic form of (2). This technique characteristically yields high estimates of qTy. For example, Soltow [7] and Groves and Kahn [3] both estimated that for Wisconsin during the 1933-1951 period of constant (quite progressive) state tax rates, rjTY was at least 1.75. Harris [4] estimated elasticities of about 1.22.4 for different states by applying constant state tax rates to distributions of federal adjusted gross income by states, and derived an overall income-elasticity of 1.8 for aggregate state income tax revenues. In an earlier study [6], I used dummy-variable techniques to estimate elasticities of 1.4-2.2 for a selected group of states. These estimates of state income-tax elasticities have not gone unnoticed by public officials. When Maryland adopted a new income-tax law in 1967, the State's Board of Revenue Estimates issued a set of revenue forecasts that showed an annual growth rate of approximately 15 per cent, compared to a growth rate of about 10 per cent in aggregate personal income. The implicit elasticity estimate of 1.5 was well within the range of estimates made for Maryland and other states with similar tax laws. Experience with the tax in calendar years 19671969, however, has shown the actual incomeelasticity of revenues to be much closer to 1.0, although actual collections appear to be very sensitive to the rate of price inflation and variations in collections procedures. These observations underlie the model presented below.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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