Is newer better? Penn World Table Revisions and their impact on growth estimates

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 the methodology deplo...

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Bibliographic Details
Main Authors: Johnson, Simon (Contributor), Larson, William (Author), Papageorgiou, Chris (Author), Subramanian, Arvind (Author)
Other Authors: Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Elsevier B.V., 2014-06-11T16:33:33Z.
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Online Access:Get fulltext
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100 1 0 |a Johnson, Simon  |e author 
100 1 0 |a Sloan School of Management  |e contributor 
100 1 0 |a Johnson, Simon  |e contributor 
700 1 0 |a Larson, William  |e author 
700 1 0 |a Papageorgiou, Chris  |e author 
700 1 0 |a Subramanian, Arvind  |e author 
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856 |z Get fulltext  |u http://hdl.handle.net/1721.1/87736 
520 |a 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 the methodology deployed to estimate growth rates leads to systematic variability, which is greater: at higher data frequencies, for smaller countries, and the farther the estimate from the benchmark year. 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. 
546 |a en_US 
655 7 |a Article 
773 |t Journal of Monetary Economics