This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Capacity Utilization and Technology Shocks in the U.S. Manufacturing Sector

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jens J. Krüger () (University of Jena, Faculty of Economics)

Additional information is available for the following registered author(s):

Abstract

In this paper the time series properties of the outcomes of two different specifications of a nonparametric productivity analysis are compared using data for three- and four- digit U.S. manufacturing industries over the period 1958-96. The first model is standard and does not account for variations of capacity utilization of the production factors whereas the second model does. Correcting for utilization leads on average to substantially smaller technology shocks which are less strongly correlation with growth rate series of output and hours as the results show. Also the probability of technological regress is considerably lower after the correction.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.wiwi.uni-jena.de/Papers/wp-sw1004.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät in its series Jenaer Schriften zur Wirtschaftswissenschaft with number 10/2004.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Jun 2004
Date of revision:
Handle: RePEc:jen:jenasw:2004-10

Contact details of provider:
Web page: http://www.wiwi.uni-jena.de/

Order Information:
Postal: If a paper is not downloadable, please contact the author(s) or the library of University of Jena, not the archive maintainer.

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords: technology shocks; business cycles; nonparametric productivity measurement;

Other versions of this item:

Find related papers by JEL classification:
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Uwe Cantner & Kristina Dreßler & Jens J. Krüger, 2004. "Firm Survival in the German Automobile Industry," Jenaer Schriften zur Wirtschaftswissenschaft 08/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
    Other versions:
  2. Armin Scholl & Lutz Häselbarth, 2003. "Bestellmengenplanung im zeitlich offenen Entscheidungsfeld," Jenaer Schriften zur Wirtschaftswissenschaft 16/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  3. Uwe Cantner & Werner Gueth & Andreas Nicklisch & Torsten Weiland, 2003. "Competition in Innovation and Imitation - A Theoretical and Experimental Study -," Papers on Strategic Interaction 2004-02, Max Planck Institute of Economics, Strategic Interaction Group. [Downloadable!]
    Other versions:
  4. Matthias Amen, 2003. "An exact method for cost-oriented assembly line balancing," GE, Growth, Math methods 0309002, EconWPA, revised 09 Sep 2003. [Downloadable!]
    Other versions:
  5. Lutz Häselbarth & Armin Scholl, 2003. "Dynamische Bestellmengenplanung für verderbliche Luxusgüter," Jenaer Schriften zur Wirtschaftswissenschaft 13/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  6. Uwe Cantner & Holger Graf & Dirk Fornahl, 2003. "Innovationssystem und Gründungsgeschehen in Jena: Erste Erkenntnisse einer Unternehmensbefragung," Jenaer Schriften zur Wirtschaftswissenschaft 06/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  7. Armin Scholl & Robert Klein & Lutz Häselbarth, 2003. "Planung im Spannungsfeld zwischen Informationsdynamik und zeitlichen Interdependenzen," Jenaer Schriften zur Wirtschaftswissenschaft 14/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  8. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178. [Downloadable!] (restricted)
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? Over 80% of the top 1000 economists are registered on RePEc.

This page was last updated on 2009-11-10.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.