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Improving GDP Measurement: A Forecast Combination Perspective

S. Boragan Aruoba, Francis Diebold, Jeremy Nalewaik, Frank Schorfheide and Dongho Song

No 17421, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Two often-divergent U.S. GDP estimates are available, a widely-used expenditure side version, GDPE, and a much less widely-used income-side version GDPI . We propose and explore a "forecast combination" approach to combining them. We then put the theory to work, producing a superior combined estimate of GDP growth for the U.S., GDPC. We compare GDPC to GDPE and GDPI , with particular attention to behavior over the business cycle. We discuss several variations and extensions.

JEL-codes: E01 E32 (search for similar items in EconPapers)
Date: 2011-09
New Economics Papers: this item is included in nep-cba, nep-for and nep-mac
Note: AP EFG IFM
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Published as "Improving GDP Measurement: A Forecast Combination Perspective," in X. Chen and N. Swanson (eds.), Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis: Essays in Honor of Halbert L. White Jr., Springer, 1- 26, 2012. With B. Aruoba, J. Nalewaik, F. Schorfheide and D. Song,

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Working Paper: Improving GDP measurement: a forecast combination perspective (2011) Downloads
Working Paper: Improving GDP Measurement: A Forecast Combination Perspective (2011) Downloads
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