Productivity Dynamics Beyond-the-Mean in U.S. Manufacturing Industries

Jens Krüger ()

No 09/2003, Jenaer Schriften zur Wirtschaftswissenschaft (Expired!) from Friedrich Schiller University of Jena, School of of Economics and Business Administration

Abstract: The approach of quantile regression is used to explore the fine details of the relation of current period and lagged productivity levels. Productivity is calculated as total factor productivity by a nonparametric approach using data for U.S. manufacturing industries on the three- and four-digit levels. Bootstrap-based confidence intervals and specification tests are reported. The results point to a first-order Markov process as a valid description of productivity transitions. Further conditioning variables show up insignificant in the majority of cases considered. The most notable exception is the variability of the growth process which increases explanatory power substantially.

Keywords: productivity; persistence; quantile regression (search for similar items in EconPapers)
JEL-codes: C14 C23 L16 N10 O30 (search for similar items in EconPapers)
Date: 2003-05
New Economics Papers: this item is included in nep-eff
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:2003-09

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 ().