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Endogenous technical advance and the stochastic trend in output: A neoclassical approach

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  • Reikard, Gordon

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  • Reikard, Gordon, 2005. "Endogenous technical advance and the stochastic trend in output: A neoclassical approach," Research Policy, Elsevier, vol. 34(10), pages 1476-1490, December.
    • Handle: RePEc:eee:respol:v:34:y:2005:i:10:p:1476-1490
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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Diego Comin & Mark Gertler, 2006. "Medium-Term Business Cycles," American Economic Review, American Economic Association, vol. 96(3), pages 523-551, June.
    3. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    4. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
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    6. Romer, Paul, 1993. "Idea gaps and object gaps in economic development," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 543-573, December.
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    12. Evans, Geroge W & Honkapohja, Seppo & Romer, Paul, 1998. "Growth Cycles," American Economic Review, American Economic Association, vol. 88(3), pages 495-515, June.
    13. den Butter, F. A. G. & Wollmer, F. J., 1996. "An empirical model for endogenous technology in the Netherlands," Economic Modelling, Elsevier, vol. 13(1), pages 15-40, January.
    14. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
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    16. Karl Whelan, 2002. "Computers, Obsolescence, And Productivity," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 445-461, August.
    17. Lichtenberg, Frank R & Siegel, Donald, 1991. "The Impact of R&D Investment on Productivity--New Evidence Using Linked R&D-LRD Data," Economic Inquiry, Western Economic Association International, vol. 29(2), pages 203-229, April.
    18. Dale W. Jorgenson, 1966. "The Embodiment Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 74(1), pages 1-1.
    19. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    20. Larry E. Jones & Rodolfo Manuelli, 1990. "A Convex Model of Equilibrium Growth," NBER Working Papers 3241, National Bureau of Economic Research, Inc.
    21. Jones, Larry E & Manuelli, Rodolfo E, 1990. "A Convex Model of Equilibrium Growth: Theory and Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1008-1038, October.
    22. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869.
    23. Romer, Paul M, 1987. "Growth Based on Increasing Returns Due to Specialization," American Economic Review, American Economic Association, vol. 77(2), pages 56-62, May.
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    Cited by:

    1. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    2. Meryem Duygun & Jiaqi Hao & Anders Isaksson & Robin C. Sickles, 2017. "World Productivity Growth: A Model Averaging Approach," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 587-619, October.
    3. Rivas-Aceves, Salvador, 2013. "El sector público y el cambio tecnológico [The public sector and technological change]," MPRA Paper 58267, University Library of Munich, Germany, revised 2013.
    4. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    5. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.

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