IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v33y2009i7p1398-1418.html
   My bibliography  Save this article

Estimated U.S. manufacturing production capital and technology based on an estimated dynamic structural economic model

Author

Listed:
  • Chen, Baoline
  • Zadrozny, Peter A.

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.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:dyncon:v:33:y:2009:i:7:p:1398-1418
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1889(09)00006-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Lucas, Robert E, Jr & Prescott, Edward C, 1971. "Investment Under Uncertainty," Econometrica, Econometric Society, vol. 39(5), pages 659-681, September.
    2. Hamilton, James D, 1985. "Uncovering Financial Market Expectations of Inflation," Journal of Political Economy, University of Chicago Press, vol. 93(6), pages 1224-1241, December.
    3. repec:bla:revinw:v:40:y:1994:i:3:p:317-49 is not listed on IDEAS
    4. Robert J. Gordon, 2000. "Does the "New Economy" Measure Up to the Great Inventions of the Past?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 49-74, Fall.
    5. Kevin J. Stiroh, 2001. "What drives productivity growth?," Economic Policy Review, Federal Reserve Bank of New York, issue Mar, pages 37-59.
    6. Romer, Christina D, 1989. "The Prewar Business Cycle Reconsidered: New Estimates of Gross National Product, 1869-1908," Journal of Political Economy, University of Chicago Press, vol. 97(1), pages 1-37, February.
    7. Levy, Daniel & Chen, Haiwei, 1994. "Estimates of the Aggregate Quarterly Capital Stock for the Post-War U.S. Economy," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40(3), pages 317-349.
    8. 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.
    9. Peter A. Zadrozny, 1990. "Estimating A Multivariate Arma Model with Mixed-Frequency Data: An Application to Forecasting U.S. GNP at Monthly Intervals," Working Papers 90-5, Center for Economic Studies, U.S. Census Bureau.
    10. Caballero, Ricardo J., 1999. "Aggregate investment," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 12, pages 813-862, Elsevier.
    11. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    12. 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.
    13. 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.
    14. 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.
    15. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    16. 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.
    17. 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 221-238.
    18. 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.
    19. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    20. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    21. R. E. Lucas, 1967. "Tests of a Capital-Theoretic Model of Technological Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(2), pages 175-189.
    22. 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.
    23. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    24. 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 878-892, July-Aug..
    25. 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(1), pages 108-124, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baoline Chen & Peter Zadrozny, 2013. "Further model-based estimates of US total manufacturing production capital and technology, 1949–2005," Journal of Productivity Analysis, Springer, vol. 39(1), pages 61-73, February.
    2. Hasan Bakhshi & Jens Larsen, 2001. "Investment-specific technological progress in the United Kingdom," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 49-80, Bank for International Settlements.
    3. Bakhshi, Hasan & Larsen, Jens, 2005. "ICT-specific technological progress in the United Kingdom," Journal of Macroeconomics, Elsevier, vol. 27(4), pages 648-669, December.
    4. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
    5. Basu, Susanto & Fernald, John G. & Shapiro, Matthew D., 2001. "Productivity growth in the 1990s: technology, utilization, or adjustment?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 117-165, December.
    6. Hornstein, Andreas & Krusell, Per & Violante, Giovanni L., 2005. "The Effects of Technical Change on Labor Market Inequalities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 20, pages 1275-1370, Elsevier.
    7. Raquel Ortega‐Argilés & Mariacristina Piva & Marco Vivarelli, 2014. "The transatlantic productivity gap: Is R&D the main culprit?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1342-1371, November.
    8. Oulton, Nicholas, 2012. "Long term implications of the ICT revolution: Applying the lessons of growth theory and growth accounting," Economic Modelling, Elsevier, vol. 29(5), pages 1722-1736.
    9. Susanto Basu & John G. Fernald, 2009. "What do we know (and not know) about potential output?," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 187-214.
    10. Hulten, Charles R., 2010. "Growth Accounting," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 987-1031, Elsevier.
    11. Gilbert Cette & Christian Pfister, 2004. "Challenges of the “New Economy” for Monetary Policy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 8, pages 27-36, Spring.
    12. Berk, Jan Marc, 2001. "New economy, old central banks? Monetary transmission in a new economic environment," Serie Research Memoranda 0032, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Cette, Gilbert & Mairesse, Jacques & Kocoglu, Yusuf, 2005. "ICT diffusion and potential output growth," Economics Letters, Elsevier, vol. 87(2), pages 231-234, May.
    14. Nathan S. Balke & Mark E. Wohar, 2002. "Low-Frequency Movements in Stock Prices: A State-Space Decomposition," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 649-667, November.
    15. Kevin J. Lansing, 2008. "Speculative growth and overreaction to technology shocks," Working Paper Series 2008-08, Federal Reserve Bank of San Francisco.
    16. Bart Hobijn, 2001. "Is equipment price deflation a statistical artifact?," Staff Reports 139, Federal Reserve Bank of New York.
    17. Elena Ketteni, 2009. "Information technology and economic performance in U.S industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(3), pages 844-865, August.
    18. Georgios Vousinas, 2012. "it & Economic Performance a Critical Review of the Empirical Data," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 3(2), pages 48-59, April.
    19. Falck, Elisabeth & Röhe, Oke & Strobel, Johannes, 2024. "Digital transformation and its impact on labour productivity: A multi-sector perspective," Discussion Papers 28/2024, Deutsche Bundesbank.
    20. Chung, Hyuk, 2018. "ICT investment-specific technological change and productivity growth in Korea: Comparison of 1996–2005 and 2006–2015," Telecommunications Policy, Elsevier, vol. 42(1), pages 78-90.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:dyncon:v:33:y:2009:i:7:p:1398-1418. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jedc .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.