Integrating Expenditure and Income Data: What to do with the Statistical Discrepancy?
Download full text from publisher
Other versions of this item:
- J. Joseph Beaulieu & Eric J. Bartelsman, 2006. "Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?," NBER Chapters, in: A New Architecture for the U.S. National Accounts, pages 309-354, National Bureau of Economic Research, Inc.
- J. Joseph Beaulieu & Eric J. Bartelsman, 2004. "Integrating expenditure and income data: what to do with the statistical discrepancy?," Finance and Economics Discussion Series 2004-39, Board of Governors of the Federal Reserve System (U.S.).
References listed on IDEAS
- 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.
- Eric J. Bartelsman & J. Joseph Beaulieu, 2007.
"A Consistent Accounting of U.S. Productivity Growth,"
NBER Chapters, 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.), revised 2004.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- William D. Nordhaus, 2001. "New Data and Output Concepts for Understanding Productivity Trends," NBER Working Papers 8097, National Bureau of Economic Research, Inc.
- Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
- 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.), revised 1990.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Baoline Chen, 2012. "A Balanced System of U.S. Industry Accounts and Distribution of the Aggregate Statistical Discrepancy by Industry," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 202-211, February.
More about this item
Keywordsindustry data; input-output; national accounts; statistical discrepancy;
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20040078. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tinbergen Office +31 (0)10-4088900). General contact details of provider: http://edirc.repec.org/data/tinbenl.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.