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A CGE model with ICT and R&D-driven endogenous growth: A general description

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This report describes the first release of the macroeconomic model developed under the project Prospective Insights on R&D in ICT (PREDICT 2), a research project co-financed by the Directorate General for Communications Networks, Content and Technology and the JRC-IPTS. One of the objectives of PREDICT 2 is the development of a macroeconomic model which allows the economic analysis of scenarios related to ICT R&D funding policies in the European Union. This report provides a motivation for the chosen modelling approach, describes the model structure and the calibration of the model to a reference growth path.

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  • Martin Aarøe Christensen, 2015. "A CGE model with ICT and R&D-driven endogenous growth: A general description," JRC Research Reports JRC97902, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc97902
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC97902
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    1. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    2. Koesler, Simon & Schymura, Michael, 2012. "Substitution elasticities in a CES production framework: An empirical analysis on the basis of non-linear least squares estimations," ZEW Discussion Papers 12-007, ZEW - Leibniz Centre for European Economic Research.
    3. Azusa OKAGAWA & Kanemi BAN, 2008. "Estimation of substitution elasticities for CGE models," Discussion Papers in Economics and Business 08-16, Osaka University, Graduate School of Economics.
    4. Marcel Timmer & Abdul A. Erumban & Reitze Gouma & Bart Los & Umed Temurshoev & Gaaitzen J. de Vries & I–aki Arto & Valeria Andreoni AurŽlien Genty & Frederik Neuwahl & JosŽ M. Rueda?Cantuche & Joseph , 2012. "The World Input-Output Database (WIOD): Contents, Sources and Methods," IIDE Discussion Papers 20120401, Institue for International and Development Economics.
    5. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    6. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    7. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    8. Marco Ratto & Werner Roeger & Jan in 't Veld, 2008. "QUEST III: an estimated DSGE model of the euro area with fiscal and monetary policy," European Economy - Economic Papers 2008 - 2015 335, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    9. Martin Aarøe Christensen, 2015. "A CGE model with ICT and R&D-driven endogenous growth: A detailed model description," JRC Research Reports JRC97908, Joint Research Centre.
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    Cited by:

    1. Jean Mercenier & Maria Teresa Alvarez Martinez & Andries Brandsma & Francesco Di Comite & Olga Diukanova & d'Artis Kancs & Patrizio Lecca & Montserrat Lopez-Cobo & Philippe Monfort & Damiaan Persyn & , 2016. "RHOMOLO-v2 Model Description: A spatial computable general equilibrium model for EU regions and sectors," JRC Research Reports JRC100011, Joint Research Centre.
    2. Martin Aarøe Christensen, 2015. "The Economic Impact of Increasing Public Support to ICT R&D: A Modelling Approach," JRC Research Reports JRC97907, Joint Research Centre.

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    More about this item

    Keywords

    Economic Modelling; R&D; ICT; Endogenous Growth;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General

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