Estimated U.S. Manufacturing Production Capital and Technology Based on an Estimated Dynamic Structural Economic Model
AbstractProduction 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.
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Bibliographic InfoPaper provided by U.S. Bureau of Labor Statistics in its series Working Papers with number 429.
Length: 43 pages
Date of creation: Sep 2009
Date of revision:
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Kalman filter estimation of latent variables;
Other versions of this item:
- Chen, Baoline & Zadrozny, Peter A., 2009. "Estimated U.S. manufacturing production capital and technology based on an estimated dynamic structural economic model," Journal of Economic Dynamics and Control, Elsevier, vol. 33(7), pages 1398-1418, July.
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-04-17 (All new papers)
- NEP-BEC-2010-04-17 (Business Economics)
- NEP-EFF-2010-04-17 (Efficiency & Productivity)
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.:
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Daniel Levy, 2000.
"Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series,"
Review of Economic Dynamics,
Elsevier for the Society for Economic Dynamics, vol. 3(1), pages 100-137, January.
- Daniel Levy, 2005. "Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series," International Finance 0505006, EconWPA, revised 16 May 2005.
- Kevin J. Stiroh, 2001. "What drives productivity growth?," Economic Policy Review, Federal Reserve Bank of New York, issue Mar, pages 37-59.
- Zadrozny, Peter A, 1997. " An Econometric Analysis of Polish Inflation Dynamics with Learning about Rational Expectations," Economic Change and Restructuring, Springer, vol. 30(2-3), pages 221-38.
- Hamilton, James D, 1985. "Uncovering Financial Market Expectations of Inflation," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1224-41, December.
- M. Ishaq Nadiri & Ingmar Prucha, 2001. "Dynamic Factor Demand Models and Productivity Analysis," NBER Chapters, in: New Developments in Productivity Analysis, pages 103-172 National Bureau of Economic Research, Inc.
- Cabalero, R.J., 1997.
97-20, Massachusetts Institute of Technology (MIT), Department of Economics.
- Hall, Robert E, 1973. "The Specification of Technology with Several Kinds of Output," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 878-92, July-Aug..
- Stephen D. Oliner & Daniel E. Sichel, 2000.
"The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?,"
Journal of Economic Perspectives,
American Economic Association, vol. 14(4), pages 3-22, Fall.
- Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Proceedings, Federal Reserve Bank of San Francisco.
- Stephen D. Oliner & Daniel E. Sichel, 2000. "The resurgence of growth in the late 1990s: is information technology the story?," Finance and Economics Discussion Series 2000-20, Board of Governors of the Federal Reserve System (U.S.).
- Burmeister, Edwin & Wall, Kent D., 1982. "Kalman filtering estimation of unobserved rational expectations with an application to the German hyperinflation," Journal of Econometrics, Elsevier, vol. 20(2), pages 255-284, November.
- Daniel Levy & Haiwei Chen, 2005.
"Estimates of the Aggregate Quarterly Capital Stock for the Post- War U.S. Economy,"
0505008, EconWPA, revised 16 May 2005.
- Levy, Daniel & Chen, Haiwei, 1994. "Estimates of the Aggregate Quarterly Capital Stock for the Post-war U.S. Economy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 40(3), pages 317-49, September.
- Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometric Society, vol. 50(6), pages 1345-70, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
- Lucas, Robert E, Jr & Prescott, Edward C, 1971. "Investment Under Uncertainty," Econometrica, Econometric Society, vol. 39(5), pages 659-81, September.
- Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
- Zadrozny, Peter, 1988. "Gaussian Likelihood of Continuous-Time ARMAX Models When Data Are Stocks and Flows at Different Frequencies," Econometric Theory, Cambridge University Press, vol. 4(01), pages 108-124, April.
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