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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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    References listed on IDEAS

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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.
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    Cited by:

    1. 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.
    2. 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.
    3. 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(01), February.
    4. Plassmann, Florenz & Feltenstein, Andrew, 2016. "How large do multi-region models need to be?," Journal of Policy Modeling, Elsevier, vol. 38(1), pages 138-155.
    5. James A. Giesecke & John R. Madden, 2013. "Evidence-based regional economic policy analysis: the role of CGE modelling," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 6(2), pages 285-301.
    6. 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.
    7. Nicholas Kilimani & Jan van Heerden & Heinrich Bohlmann & Louise Roos, 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.
    8. J.A. Giesecke & W.J. Burns & A. Barrett & E. Bayrak & A. Rose & M. Suher, 2010. "Assessment of the Regional Economic Impacts of Catastrophic Events: CGE analysis of resource loss and behavioral effects of a RDD attack scenario," Centre of Policy Studies/IMPACT Centre Working Papers g-194, Victoria University, Centre of Policy Studies/IMPACT Centre.
    9. Giesecke, James A. & Madden, John R., 2013. "Regional Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, Elsevier.
    10. 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.
    11. 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.
    12. 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.

    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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