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A Systematic Comparison Of The REMI and IMPLAN Models: The Case Of Southern Nevada

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  • Dan S. Rickman

    (Georgia Southern University)

  • R. Keith Schwer

    (UNLV)

Abstract

Despite the growing popularity of ready-made, regional economic impact models, few performance comparisons of the available models exist Most studies have either examined the general characteristics and usability of the models or presented a specific application of a model. This paper systematically compares the performance of the two most widely used models: REMI and IMPLAN. A recent comparison of REMI and IMPLAN contained methodological errors that precluded a systematic evaluation. The areas used in the comparison in this paper are one urban county and two rural counties in southern Nevada. In addition to presenting the comparison of REMI and IMPLAN, this paper discusses the general applicability of the comparison to other models and establishes criteria that could be used in future comparisons of regional economic impact models.

Suggested Citation

  • Dan S. Rickman & R. Keith Schwer, 1993. "A Systematic Comparison Of The REMI and IMPLAN Models: The Case Of Southern Nevada," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 143-162, Fall.
    • Handle: RePEc:rre:publsh:v23:y:1993:i:2:p:143-162
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    References listed on IDEAS

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    1. Radtke, Hans & Detering, Stan & Brokken, Ray F., 1985. "A Comparison Of Economic Impact Estimates For Changes In The Federal Grazing Fee: Secondary Vs. Primary Data I/O Models," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(2), pages 1-9, December.
    2. Sue Lieu, 1991. "Regional Impacts Of Air Quality Regulation: Applying An Economic Model," Contemporary Economic Policy, Western Economic Association International, vol. 9(3), pages 24-34, July.
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    Cited by:

    1. Rickman, Dan S. & Wang, Hongbo, 2022. "Industry Aggregation and Assessment of State Economic Development from Motion Picture and Television Production Incentives," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 52(1), August.
    2. Dudensing, Rebekka & Guerrero, Bridget & Amosson, Steve, 2019. "Evaluating the Accuracy of Regional Economic Impact Estimates: Considering a 2013 Beef Plant Closure in Texas," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 49(1), May.
    3. Dan S. Rickman, 2001. "Using Input-Output Information for Bayesian Forecasting of Industry Employment in a Regional Econometric Model," International Regional Science Review, , vol. 24(2), pages 226-244, April.
    4. Lawrence, Michael F. & Wei, Dan & Rose, Adam & Williamson, Scott & Cartwright-Smith, Devon, 2017. "Macroeconomic impacts of proposed climate change mitigation strategies for transportation in Southern California," Research in Transportation Economics, Elsevier, vol. 61(C), pages 56-69.
    5. repec:mul:je8794:doi:10.1429/34355:y:2011:i:1:p:125 is not listed on IDEAS
    6. Maki, Wilbur R., 1997. "Accounting for Local Economic Change in Regional Input-Output Modeling," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(2), pages 1-15.
    7. D S Rickman & R K Schwer, 1995. "Multiplier Comparisons of the IMPLAN and REMI Models across Versions: Illuminating Black Boxes," Environment and Planning A, , vol. 27(1), pages 143-151, January.
    8. Paul B. Siegel & Jeffrey Alwang & Thomas G. Johnson, 1995. "Decomposing Sources of Regional Growth with an Input-output Model: A Framework for Policy Analysis," International Regional Science Review, , vol. 18(3), pages 331-353, July.
    9. Adam Rose & Dan Wei & Noah Dormady, 2011. "Regional macroeconomic assessment of the Pennsylvania Climate Action Plan," Regional Science Policy & Practice, Wiley Blackwell, vol. 3(4), pages 357-379, November.
    10. Mark A. Bonn & Julie Harrington, 2008. "A Comparison of Three Economic Impact Models for Applied Hospitality and Tourism Research," Tourism Economics, , vol. 14(4), pages 769-789, December.
    11. Maki, Wilbur R. & Lichty, Richard W. & Loveridge, Scott, 1994. "Reducing System Bias And Specification Error In Micro-Implan," Staff Papers 13317, University of Minnesota, Department of Applied Economics.
    12. Gordon Mulligan & Randall Jackson & Amanda Krugh, 2013. "Economic base multipliers: a comparison of ACDS and IMPLAN," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(3), pages 289-303, August.

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