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Measuring Spillover Effects Of Shocks To The Alaska Economy: An Inter-Regional Social Accounting Matrix (Irsam) Model Approach

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  • Chang K. Seung

Abstract

An inter-regional social accounting matrix (IRSAM) model is used to estimate the spillover effects occurring between economies of two US regions -- (i) Alaska, which depends heavily on imports of commodities and factors of production from outside the region, and (ii) the rest of the US (RoUS). Multiplier decomposition is used to calculate intra-regional multipliers and spillover effects between the two regions. Results show that a significant percentage (46.3--70.8%) of the total secondary impacts of a shock to Alaskan industries leaks out of Alaska and flows to the RoUS. An analysis of household multipliers indicates that over 60% of the total secondary effects of an increase in Alaska household income accrues to the RoUS households. Policymakers are concerned with identifying the magnitude, nature, and geographic distribution of economic impacts from the policies they implement. The IRSAM model provides the framework for a better understanding of the intra-regional and spillover effects of policies.

Suggested Citation

  • Chang K. Seung, 2014. "Measuring Spillover Effects Of Shocks To The Alaska Economy: An Inter-Regional Social Accounting Matrix (Irsam) Model Approach," Economic Systems Research, Taylor & Francis Journals, vol. 26(2), pages 224-238, June.
  • Handle: RePEc:taf:ecsysr:v:26:y:2014:i:2:p:224-238
    DOI: 10.1080/09535314.2013.803039
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    Cited by:

    1. Waters, Edward C. & Seung, Chang K. & Hartley, Marcus L. & Dalton, Michael G., 2014. "Measuring the multiregional economic contribution of an Alaska fishing fleet with linkages to international markets," Marine Policy, Elsevier, vol. 50(PA), pages 238-248.
    2. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Hidekazu Itoh, 2016. "Understanding of economic spillover mechanism by structural path analysis: a case study of interregional social accounting matrix focused on institutional sectors in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-20, December.
    4. Vogel, Stephen & Miller, Cristina & Ralston, Katherine, 2021. "Impact of USDA's Supplemental Nutrition Assistance Program (SNAP) on Rural and Urban Economies in the Aftermath of the Great Recession," Economic Research Report 327185, United States Department of Agriculture, Economic Research Service.
    5. Chang K. Seung, 2014. "Estimating effects of exogenous output changes: an application of multi-regional social accounting matrix (MRSAM) method to natural resource management," Regional Science Policy & Practice, Wiley Blackwell, vol. 6(2), pages 177-193, June.

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