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Development of a large-scale single U.S. region CGE model using IMPLAN data: A Los Angeles County example with a productivity shock application

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  • James A. Giesecke

Abstract

This paper details the construction of a large-scale computable general equilibrium (CGE) model for a single U.S. region. The model contains detailed treatment of margins and taxes, features not typically given prominence in U.S. regional CGE models. The starting point for the core of the CGE model's data base is information from IMPLAN, producers of regional I/O data at the U.S. county and state levels. IMPLAN's I/O tables, however, are in producer prices with aggregated treatment of margins and taxes. The methods for reconfiguring the I/O data into basic price flows with direct allocation of imports and a disaggregated treatment of taxes and margins are described. The method is applied to construction of a Los Angeles County model. An illustrative simulation of a productivity improvement in the Los Angeles County economy is then discussed.

Suggested Citation

  • James A. Giesecke, 2009. "Development of a large-scale single U.S. region CGE model using IMPLAN data: A Los Angeles County example with a productivity shock application," Centre of Policy Studies/IMPACT Centre Working Papers g-187, Victoria University, Centre of Policy Studies/IMPACT Centre.
    • Handle: RePEc:cop:wpaper:g-187
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    1. Kym Anderson & James Giesecke & Ernesto Valenzuela, 2010. "How would global trade liberalization affect rural and regional incomes in Australia?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 389-406, October.
    2. Hanoch, Giora, 1971. "CRESH Production Functions," Econometrica, Econometric Society, vol. 39(5), pages 695-712, September.
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    Cited by:

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    2. Zahniser, Steven & Hertz, Thomas & Dixon, Peter B. & Rimmer, Maureen T., 2017. "The Potential Effects of Increased Demand for U.S. Agricultural Exports on Metro and Nonmetro Employment," Economic Research Report 262186, United States Department of Agriculture, Economic Research Service.
    3. María Teresa Álvarez-Martínez & Michael L. Lahr, 2016. "Gaming, States, and Tax Revenues—the Tortoise or the Hare: A CGE Comparative Assessment of Casino Resorts and Games-Only Casinos," Growth and Change, Wiley Blackwell, vol. 47(2), pages 236-258, June.
    4. Juan J. Monge & Henry L. Bryant & David P. Anderson, 2014. "Development Of Regional Social Accounting Matrices With Detailed Agricultural Land Rent Data And Improved Value-Added Components For The Usa," Economic Systems Research, Taylor & Francis Journals, vol. 26(4), pages 486-510, December.
    5. Aaron B. Gertz & James B. Davies & Samantha L. Black, 2019. "A CGE Framework for Modeling the Economics of Flooding and Recovery in a Major Urban Area," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1314-1341, June.
    6. Hussain, Anwar & Munn, Ian A. & Holland, David W. & Armstrong, James & Spurlock, Stanley R., 2012. "Economic Impact of Wildlife-Associated Recreation Expenditures in the Southeast United States: A General Equilibrium Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(1), pages 1-20, February.
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    9. Amani Elobeid & Miguel Carriquiry & Jerome Dumortier & David Swenson & Dermot J. Hayes, 2021. "China‐U.S. trade dispute and its impact on global agricultural markets, the U.S. economy, and greenhouse gas emissions," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 647-672, September.
    10. Michael Lahr & Maria Alvarez, 2013. "Tortoise and the Hare Revisited? A CGE Analysis of Gaming and State Tax Revenues:," ERSA conference papers ersa13p191, European Regional Science Association.
    11. Natalia Gennadyevna Zakharchenko & Olga Valeryevna Dyomina, 2015. "Modelling Energy - Economy Interactions: The Far East Experience," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 62-90.
    12. N. G. Dzhurka, 2018. "Development Trajectories of the Russian Far East: Evaluation Based on the Dynamic Model of Economic Interactions," Studies on Russian Economic Development, Springer, vol. 29(2), pages 144-152, March.
    13. Elizabeth L. Roos & Heinrich R. Bohlmann & Jan H. van Heerden & Nicholas Kilimani, 2016. "Counting the cost of drought induced productivity losses in an agro-based economy: The case of Uganda," Working Papers 616, Economic Research Southern Africa.
    14. J. A. Giesecke & W. J. Burns & A. Barrett & E. Bayrak & A. Rose & P. Slovic & M. Suher, 2012. "Assessment of the Regional Economic Impacts of Catastrophic Events: CGE Analysis of Resource Loss and Behavioral Effects of an RDD Attack Scenario," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 583-600, April.
    15. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2011. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(3), pages 243-248, September.
    16. Dixon, Peter & Jerie, Michael & Rimmer, Maureen & Wittwer, Glyn, 2017. "Using a regional CGE model for rapid assessments of the economic implications of terrorism: creating GRAD-ECAT (Generalized, Regional And Dynamic Economic Consequence Analysis Tool," Conference papers 332900, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    17. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 379-475, Elsevier.
    18. Peter B. Dixon & Michael Jerie & Maureen T. Rimmer & Glyn Wittwer, 2017. "Using a regional CGE model for rapid assessments of the economic implications of terrorism events: creating GRAD-ECAT (Generalized, Regional And Dynamic Economic Consequence Analysis Tool)," Centre of Policy Studies/IMPACT Centre Working Papers g-280, Victoria University, Centre of Policy Studies/IMPACT Centre.
    19. Gesualdo, Maria & Rosignoli, Stefano, 2013. "Building a computable general equilibium model (cge) on a regional sam: the case of Tuscany," MPRA Paper 81412, University Library of Munich, Germany.
    20. Esmedekh Lkhanaajav, 2016. "CoPS-style CGE modelling and analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-264, Victoria University, Centre of Policy Studies/IMPACT Centre.

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    More about this item

    Keywords

    CGE; IMPLAN;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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