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The Effect of Relative Coefficient Size on Input—Output Multipliers

Author

Listed:
  • R C Jensen
  • G R West

Abstract

This paper provides a measure of the effect of relative coefficient size on input–output multipliers. Fourteen input–output tables, including a national table and tables for state, metropolitan region, city, rural town, and large and small rural region economies are included in experiments which measure the effect on output, income, and employment multipliers of (1) removal with replacement and (2) cumulative removal without replacement of coefficients from the A matrix. The experimental results illustrate the dominant role of the larger coefficients in multiplier formation and enable the derivation of a multiplier accuracy-maximising approach to table preparation.

Suggested Citation

  • R C Jensen & G R West, 1980. "The Effect of Relative Coefficient Size on Input—Output Multipliers," Environment and Planning A, , vol. 12(6), pages 659-670, June.
    • Handle: RePEc:sae:envira:v:12:y:1980:i:6:p:659-670
    DOI: 10.1068/a120659
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    Cited by:

    1. Richard Wood, 2011. "Construction, Stability And Predictability Of An Input-Output Time-Series For Australia," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 175-211.
    2. Randall Jackson & Amir B. Ferreira Neto & Elham Erfanian, 2016. "Woody Biomass Processing: Potential Economic Impacts on Rural Regions," Working Papers Working Paper 2016-04-v3, Regional Research Institute, West Virginia University.
    3. Tarancon, M.A., 2006. "Locating the Most Important Transactions of the Economy by an Alternative Sensivity Analysis. Application to the Employment Structure of Nine European Countries," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(1).
    4. Ali Jalili, 2000. "Exogenous information and input-output updating: An evaluation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(1), pages 50-66, February.
    5. João C. Lopes & João Dias & João F. Amaral, 2012. "Assessing economic complexity as interindustry connectedness in nine OECD countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(6), pages 811-827, January.
    6. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    7. Xiaoyun Zhao & Sung-Goan Choi, 2015. "On the regionalization of input–output tables with an industry-specific location quotient," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 901-926, May.
    8. repec:dgr:rugsom:95d36 is not listed on IDEAS
    9. Jorge Manuel Lopez & Manuel Alejandro Cardenete, 2015. "Andalusian Economic Structure over Social Accounting Matrices from FES analysis perspective," ERSA conference papers ersa15p523, European Regional Science Association.

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