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Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?

In: A New Architecture for the U.S. National Accounts

  • J. Joseph Beaulieu
  • Eric J. Bartelsman

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.

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This chapter was published in:
  • Dale Jorgenson & J. Steven Landefeld & William D. Nordhaus, 2006. "A New Architecture for the U.S. National Accounts," NBER Books, National Bureau of Economic Research, Inc, number jorg06-1, December.
  • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 0141.
    Handle: RePEc:nbr:nberch:0141
    Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
    Phone: 617-868-3900
    Web page: http://www.nber.org
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    1. Mario Forni & Lucrezia Reichlin, 1998. "Let's get real: a factor analytical approach to disaggregated business cycle dynamics," ULB Institutional Repository 2013/10147, ULB -- Universite Libre de Bruxelles.
    2. David E. Lebow, 1990. "The covariability of productivity shocks across industries," Working Paper Series / Economic Activity Section 102, Board of Governors of the Federal Reserve System (U.S.).
    3. Eric J. Bartelsman & J. Joseph Beaulieu, 2004. "A consistent accounting of U.S. productivity growth," Finance and Economics Discussion Series 2004-55, Board of Governors of the Federal Reserve System (U.S.).
    4. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    5. Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: US Economic Growth in the Information Age," OECD Economics Department Working Papers 261, OECD Publishing.
    6. Dennis J Fixler & Marshall B Reinsdorf & Shaunda Villones, 2010. "Measuring the services of commercial banks in the NIPA," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 346-349 Bank for International Settlements.
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