Further model-based estimates of US total manufacturing production capital and technology, 1949–2005
Baoline Chen and
Peter Zadrozny
Journal of Productivity Analysis, 2013, vol. 39, issue 1, 73 pages
Abstract:
Production capital and technology (i.e., total factor productivity) in US manufacturing are fundamental for understanding output and productivity growth of the US economy but are unobserved at this level of aggregation and must be estimated before being used in empirical analysis. Previously, we developed a method for estimating production capital and technology based on an estimated dynamic structural economic model and applied the method using annual SIC data for 1947–1997 to estimate production capital and technology in US total manufacturing. In this paper, we update this work by reestimating the model and production capital and technology using annual SIC data for 1949–2001 and partly overlapping NAICS data for 1987–2005. Copyright Springer Science+Business Media, LLC (outside the USA) 2013
Keywords: Kalman filter; Estimation of unobserved variables; Dynamic structural modelling; C50; C81; D24; L60 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-012-0271-5 (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:kap:jproda:v:39:y:2013:i:1:p:61-73
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-012-0271-5
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().