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Reconciling Reconciliation Procedures in Regional Input-Output Analysis

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  • Shelby D. Gerking

    (Department of Economics University of Wyoming Laramie, Wyoming 82071 USA)

Abstract

The primary aim of this paper is to extend my previous work on the reconciliation of regional coefficients in input-output models. Specifically, an effort is made to show how certain types of a priori or judgmental information may be incorporated into the minimum variance reconciliation (MVR) process. In addition, this paper provides a response to Miernyk's objections that the MVR method: (1) produces coefficient estimates of doubtful statistical or theoretical validity and (2) systematically underestimates diagonal regional coefficients as well as the sum of interindustry sales for a given sector.

Suggested Citation

  • Shelby D. Gerking, 1979. "Reconciling Reconciliation Procedures in Regional Input-Output Analysis," International Regional Science Review, , vol. 4(1), pages 23-36, October.
    • Handle: RePEc:sae:inrsre:v:4:y:1979:i:1:p:23-36
    DOI: 10.1177/016001767900400102
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    References listed on IDEAS

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    1. Liew, Chong Kiew, 1976. "A Two-Stage Least-Squares Estimation with Inequality Restrictions on Parameters," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 234-238, May.
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    Cited by:

    1. Mohd Khairul Hisyam Hassan & Zaleha Mohd Noor & Normaz Wana Ismail & Alias Radam & Zakariah Abdul Rashid, 2017. "The Regional Input-Output Model for East Malaysia Region: Construction and Application," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(12), pages 712-731, December.
    2. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    3. Casiano A. Manrique-de-Lara-Peñate & Dolores R. Santos-Peñate, 2017. "SAM updating using multi-objective optimization techniques," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 647-667, August.

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