58 Pages Posted: 23 Nov 2004
Date Written: August 2004
The purpose of this paper is to build consistent, integrated datasets to investigate whether various disaggregated data can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to estimate consistent sets of input-output models that sum to either GDP or GDI and compare the two in order to see where the discrepancy resides. We find a few problem industries that appear to explain most of the statistical discrepancy. Second, we explore what combination of the expenditure data and the income data seem to produce the most sensible data according to a few economic criteria. A mixture of data that do not aggregate either to GDP or to GDI appears optimal.
Keywords: Industry data, input-output, national accounts, statistical discrepancy
JEL Classification: C67, C82
Suggested Citation: Suggested Citation
Beaulieu, Joe and Bartelsman, Eric J., Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy? (August 2004). FEDS Working Paper No. 2004-39. Available at SSRN: https://ssrn.com/abstract=622341 or http://dx.doi.org/10.2139/ssrn.622341