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Trend breaks and the long-run implications of investment-specific technological progress

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  • Moura, Alban

Abstract

I update the Greenwood, Hercowitz, and Krusell (1997) decomposition of U.S. growth into contributions from neutral and investment-specific technological progress. I allow the decomposition to vary across sub-samples, reflecting the presence of trend breaks in the data. The estimates suggest that neutral technological progress explained virtually all growth between 1950 and the mid-1970s. However, investment-specific technological progress accounts for about 75 percent of growth since the 1980s. These results support splitting the postwar sample and using two-sector models to study the recent period.

Suggested Citation

  • Moura, Alban, 2021. "Trend breaks and the long-run implications of investment-specific technological progress," MPRA Paper 112350, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:112350
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    References listed on IDEAS

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    1. Benati, Luca, 2014. "Do TFP and the relative price of investment share a common I(1) component?," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 239-261.
    2. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    3. Whelan, Karl, 2003. "A Two-Sector Approach to Modeling U.S. NIPA Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 627-656, August.
    4. Zhongjun Qu & Pierre Perron, 2007. "Estimating and Testing Structural Changes in Multivariate Regressions," Econometrica, Econometric Society, vol. 75(2), pages 459-502, March.
    5. Gabriel Perez-Quiros & Margaret M. McConnell, 2000. "Output Fluctuations in the United States: What Has Changed since the Early 1980's?," American Economic Review, American Economic Association, vol. 90(5), pages 1464-1476, December.
    6. Moura, Alban, 2021. "Are neutral and investment-specific technology shocks correlated?," European Economic Review, Elsevier, vol. 139(C).
    7. Alban Moura, 2018. "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 27, pages 48-63, January.
    8. Fernald, John G., 2007. "Trend breaks, long-run restrictions, and contractionary technology improvements," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2467-2485, November.
    9. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue mar.
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    2. Prados de la Escosura, Leandro & Rodríguez-Caballero, C. Vladimir, 2022. "War, pandemics, and modern economic growth in Europe," Explorations in Economic History, Elsevier, vol. 86(C).

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    More about this item

    Keywords

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    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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