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Is Newer Better? Penn World Table Revisions and Their Impact on Growth Estimates

Simon Johnson, William Larson, Chris Papageorgiou () and Arvind Subramanian

No 15455, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper sheds light on two problems in the Penn World Table (PWT) GDP estimates. First, we show that these estimates vary substantially across different versions of the PWT despite being derived from very similar underlying data and using almost identical methodologies; that this variability is systematic; and that it is intrinsic to the methodology deployed by the PWT to estimate growth rates. Moreover, this variability matters for the cross-country growth literature. While growth studies that use low frequency data remain robust to data revisions, studies that use annual data are less robust. Second, the PWT methodology leads to GDP estimates that are not valued at purchasing power parity (PPP) prices. This is surprising because the raison d'être of the PWT is to adjust national estimates of GDP by valuing output at common international (purchasing power parity [PPP]) prices so that the resulting PPP-adjusted estimates of GDP are comparable across countries. We propose an approach to address these two problems of variability and valuation.

JEL-codes: O11 O40 O47 (search for similar items in EconPapers)
Date: 2009-10
New Economics Papers: this item is included in nep-dev, nep-eff and nep-fdg
Note: EFG IFM
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (67)

Published as Johnson, Simon & Larson, William & Papageorgiou, Chris & Subramanian, Arvind, 2013. "Is newer better? Penn World Table Revisions and their impact on growth estimates," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 255-274.

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Journal Article: Is newer better? Penn World Table Revisions and their impact on growth estimates (2013) Downloads
Working Paper: Is Newer Better? Penn World Table Revisions and Their Impact on Growth Estimates (2009) Downloads
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