Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?
In: A New Architecture for the U.S. National Accounts
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.
(This abstract was borrowed from another version of this item.)
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- 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.
- Dale W. Jorgenson & Kevin J. Stiroh, 2000. "Raising the Speed Limit: U.S. Economic Growth in the Information Age," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 31(1), pages 125-236.
- Richard Stone & D. G. Champernowne & J. E. Meade, 1942. "The Precision of National Income Estimates," Review of Economic Studies, Oxford University Press, vol. 9(2), pages 111-125.
- Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
- 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.
- Mario Forni & Lucrezia Reichlin, 1998.
"Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics,"
Review of Economic Studies,
Oxford University Press, vol. 65(3), pages 453-473.
- 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.
- 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.).
- Eric J. Bartelsman & J. Joseph Beaulieu, 2007.
"A Consistent Accounting of U.S. Productivity Growth,"
in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 449-482
National Bureau of Economic Research, Inc.
- 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.).
- Louis De Mesnard, 2002.
"Forecast output coincidence and biproportion: two criteria to determine the orientation of an economy. Comparison for France (1980-1997),"
Taylor & Francis Journals, vol. 34(16), pages 2085-2091.
- Louis De Mesnard, 2002. "Forecast Output Coincidence and Biproportion: Two Criteria to Determine the Orientation of an Economy. Comparison for France (1980-1997)," Post-Print hal-00383929, HAL.
- William D. Nordhaus, 2001.
"New Data and Output Concepts for Understanding Productivity Trends,"
NBER Working Papers
8097, National Bureau of Economic Research, Inc.
- William D. Nordhaus, 2000. "New Data and Output Concepts for Understanding Productivity Trends," Cowles Foundation Discussion Papers 1286, Cowles Foundation for Research in Economics, Yale University.
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