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Title: Quantity Measurement, Balanced Growth, and Welfare in Multi-Sector Growth Models

Author(s): Georg Duernecker, Berthold Herrendorf and Akos Valentinyi

Publication Date: September 2017

Keyword(s): balanced growth, Baumol's Cost Disease, Fisher Index, Multi-Sector Growth Models and structural change

Programme Area(s): Macroeconomics and Growth

Abstract: Multi-sector models typically rely on a numeraire to aggregate quantities whereas NIPA uses the chain index. For three popular versions of the multi-sector growth model, we provide analytical expressions for the growth of aggregate quantities under both measurement methods and establish that the compound differences are sizeable over long horizons. We show that using the chain index captures more accurately the aggregate effects of secular changes in relative prices. For example, in a standard model of structural transformation, measuring GDP growth with the chain index captures that Baumol's disease reduces welfare growth, which using a numeraire misses.

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Bibliographic Reference

Duernecker, G, Herrendorf, B and Valentinyi, A. 2017. 'Quantity Measurement, Balanced Growth, and Welfare in Multi-Sector Growth Models'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=12300