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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Main Authors: Johnson, Simon, Larson, William, Papageorgiou, Chris, Subramanian, Arvind
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Elsevier B.V. 2014
Online Access:http://hdl.handle.net/1721.1/87736
https://orcid.org/0000-0002-3354-7155
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author Johnson, Simon
Larson, William
Papageorgiou, Chris
Subramanian, Arvind
author2 Sloan School of Management
author_facet Sloan School of Management
Johnson, Simon
Larson, William
Papageorgiou, Chris
Subramanian, Arvind
author_sort Johnson, Simon
collection MIT
description 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.
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spelling mit-1721.1/877362022-09-28T17:07:14Z Is newer better? Penn World Table Revisions and their impact on growth estimates Johnson, Simon Larson, William Papageorgiou, Chris Subramanian, Arvind Sloan School of Management Johnson, Simon 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. 2014-06-11T16:33:33Z 2014-06-11T16:33:33Z 2013-03 2010-06 Article http://purl.org/eprint/type/JournalArticle 03043932 http://hdl.handle.net/1721.1/87736 Johnson, Simon, William Larson, Chris Papageorgiou, and Arvind Subramanian. “Is Newer Better? Penn World Table Revisions and Their Impact on Growth Estimates.” Journal of Monetary Economics 60, no. 2 (March 2013): 255–274. https://orcid.org/0000-0002-3354-7155 en_US http://dx.doi.org/10.1016/j.jmoneco.2012.10.022 Journal of Monetary Economics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Elsevier B.V. MIT web domain
spellingShingle Johnson, Simon
Larson, William
Papageorgiou, Chris
Subramanian, Arvind
Is newer better? Penn World Table Revisions and their impact on growth estimates
title Is newer better? Penn World Table Revisions and their impact on growth estimates
title_full Is newer better? Penn World Table Revisions and their impact on growth estimates
title_fullStr Is newer better? Penn World Table Revisions and their impact on growth estimates
title_full_unstemmed Is newer better? Penn World Table Revisions and their impact on growth estimates
title_short Is newer better? Penn World Table Revisions and their impact on growth estimates
title_sort is newer better penn world table revisions and their impact on growth estimates
url http://hdl.handle.net/1721.1/87736
https://orcid.org/0000-0002-3354-7155
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