Using the Manufacturing Productivity Distribution to Evaluate Growth Theories

Jens Krüger ()

No 16/2004, Jenaer Schriften zur Wirtschaftswissenschaft (Expired!) from Friedrich Schiller University of Jena, School of of Economics and Business Administration

Abstract: Some multi-sector endogenous growth models make strong predictions about productivity differences across sectors in the form of a distribution or density function. In this paper it is demonstrated that this distribution is left-skewed for a wide range of plausible parameter values. This stands in strong contrast to the right-skewed shape of the respective empirical distribution estimated by kernel methods for a measure of relative productivity for more than 450 four-digit U.S. manufacturing industries during 1958-96. This difference is interpreted as evidence in favor of devoting more emphasis on the effects of structural change on the sectoral level in growth models.

Keywords: multisector growth models; manufacturing productivity distribution; skewness (search for similar items in EconPapers)
JEL-codes: D24 L60 O47 (search for similar items in EconPapers)
Date: 2004-06
New Economics Papers: this item is included in nep-dev
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jen:jenasw:2004-16

Access Statistics for this paper

More papers in Jenaer Schriften zur Wirtschaftswissenschaft (Expired!) from Friedrich Schiller University of Jena, School of of Economics and Business Administration
Bibliographic data for series maintained by Markus Pasche ().