Integrating expenditure and income data
Subtitle: what to do with the statistical discrepancy?
By: J. Joseph Beaulieu and Eric J. Bartelsman.
Contributors: Bartelsman, Eric J.
Series: Finance and economics discussion series ;; 2004-39; Finance and economics discussion series (Online) ;; 2004-39.
Publisher: Federal Reserve Board
Published: 2004
Place of publication: Washington, D.C
Language: eng
Format: Electronic resource
Description: "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"--Federal Reserve Board web site.
Notes: Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 8/11/2004.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.