Total factor productivity: an unobserved components approach
Raul Crespo
Applied Economics, 2008, vol. 40, issue 16, 2085-2097
Abstract:
This work examines the presence of unobserved components in the time-series of total factor productivity (TFP), which is an idea central to modern Macroeconomics. The main approaches in both the study of economic growth and the study of business cycles rely on certain properties of the different components of the time-series of TFP. In the study of economic growth, the Neoclassical growth model explains growth in terms of technical progress as measured by the secular component of TFP. While in the study of business cycles, the Real Business Cycle approach explains short-run fluctuations in the economy as determined by temporary movements in the production function, which are reflected by the cyclical component of the time-series of the same variable. The econometric methodology employed in the estimation of these different components is the structural time-series approach developed by Harvey (1989), Harvey and Shephard (1993), and others. An application to the time-series of TFP for the 1948-2002 US private nonfarm business sector is presented.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840600949314 (text/html)
Access to full text is restricted to subscribers.
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:taf:applec:v:40:y:2008:i:16:p:2085-2097
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840600949314
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().