Feeding the national accounts
AbstractA complex tracking system, the National Income and Product Accounts (NIPA) is used to measure and monitor the U.S. economy. This article surveys the main data sources currently used in the NIPA. It is not primarily an article about methodology, but focuses instead on the raw inputs to the process: Who is answering what kinds of questions? Closer acquaintance with the data sources behind the accounts highlights the considerable uncertainty about exact magnitudes of various aggregate quantities (and their growth rates) and the need for ongoing evaluation of the data-collection efforts that support the accounts.
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Bibliographic InfoArticle provided by Federal Reserve Bank of St. Louis in its journal Review.
Volume (Year): (2000)
Issue (Month): Mar ()
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- Christina D. Romer, 1999.
"Changes in Business Cycles: Evidence and Explanations,"
NBER Working Papers
6948, National Bureau of Economic Research, Inc.
- Christina D. Romer, 1999. "Changes in Business Cycles: Evidence and Explanations," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 13(2), pages 23-44, Spring.
- John C. Haltiwanger, 1997. "Measuring and analyzing aggregate fluctuations: the importance of building from microeconomic evidence," Review, Federal Reserve Bank of St. Louis, Federal Reserve Bank of St. Louis, issue May, pages 55-78.
- Dean Croushore & Tom Stark, 1999.
"A real-time data set for macroeconomists,"
99-4, Federal Reserve Bank of Philadelphia.
- Dean Croushore & Tom Stark, 2000. "A real-time data set for macroeconomists: does data vintage matter for forecasting?," Working Papers 00-6, Federal Reserve Bank of Philadelphia.
- Pierre Siklos, 2006. "What Can We Learn from Comprehensive Data Revisions for Forecasting Inflation: Some US Evidence," Working Papers, Wilfrid Laurier University, Department of Economics eg0049, Wilfrid Laurier University, Department of Economics, revised 2006.
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