Estimated U.S. manufacturing production capital and technology based on an estimated dynamic structural economic modelBaoline Chen and Peter A. Zadrozny Journal of Economic Dynamics and Control, 2009, vol. 33, issue 7, pages 1398-1418 Abstract: Production capital and total factor productivity or technology are fundamental to understanding output and productivity growth, but are unobserved except at disaggregated levels and must be estimated before being used in empirical analysis. In this paper, we develop estimates of production capital and technology for U.S. total manufacturing based on an estimated dynamic structural economic model. First, using annual U.S. total manufacturing data for 1947-1997, we estimate by maximum likelihood a dynamic structural economic model of a representative production firm. In the estimation, capital and technology are completely unobserved or latent variables. Then, we apply the Kalman filter to the estimated model and the data to compute estimates of model-based capital and technology for the sample. Finally, we describe and evaluate similarities and differences between the model-based and standard estimates of capital and technology reported by the Bureau of Labor Statistics. Keywords: Kalman; filter; estimation; of; latent; variables (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: http://EconPapers.repec.org/RePEc:eee:dyncon:v:33:y:2009:i:7:p:1398-1418 Access Statistics for this article Journal of Economic Dynamics and Control is edited by J. Bullard, C. Chiarella, C. H. Hommes, P. N. Ireland, T. Cogley and M. Juillard More articles in Journal of Economic Dynamics and Control from Elsevier |
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