Staff Reports
The Linkage between Regional Economic Indexes and Tax Bases: Evidence from New York
June 2004 Number 188
JEL classification: C32, E32, H71

Authors: Jason Bram, Andrew Haughwout, James Orr, Robert Rich, and Rae Rosen

This paper examines the linkage between economic activity and tax revenues for New York State and New York City. Drawing upon the methodology of Stock and Watson, we use a dynamic single-factor model to estimate indexes of coincident economic indicators. We also construct measures of the sales and withholding tax bases. To conduct an empirical analysis of the relationship between the indexes of economic activity and the tax base series, we use vector autoregression and error correction models. The results provide strong evidence that the coincident indexes contain useful information for explaining monthly growth in the tax bases. However, much less evidence exists of a statistically significant linkage from the tax bases to the coincident indexes.

Available only in PDFPDF43 pages / 472 kb

For a published version of this report, see Robert Rich, Jason Bram, Andrew Haughwout, James Orr, RaeRosen, and Rebecca Sela, "Using Regional Economic Indexes to Forecast Tax Bases: Evidence from New York," Review of Economics and Statistics 87, no. 4 (November 2005): 627-34.