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The Role Of Supply Constraints In Multiplier Analysis

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  • Manuel Alejandro Cardenete
  • Ferran Sancho

Abstract

Multiplier analysis based upon the information contained in Leontief's inverse is undoubtedly part of the core of the input--output methodology and numerous applications and extensions have been developed that exploit its informational content, both at the national and regional levels. Nonetheless there are some implicit theoretical assumptions whose policy implications need to be assessed. This is the case for the ‘excess capacity’ assumption, which implies that resources are available as needed to adjust production to new equilibrium states. In an actual economy, however, new resources are often scarce and always costly. When supply constraints intervene, the assessment of the effects of government demand policies may be substantially different from that of the standard Leontief multiplier matrix. Using a closed general equilibrium model that incorporates supply constraints, we perform some simple numerical exercises and proceed to derive two ‘constrained’ multiplier matrices, based upon the implicit Jacobian matrix, that can be compared with the standard ‘unconstrained’ Leontief matrix.

Suggested Citation

  • Manuel Alejandro Cardenete & Ferran Sancho, 2012. "The Role Of Supply Constraints In Multiplier Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 24(1), pages 21-34, June.
  • Handle: RePEc:taf:ecsysr:v:24:y:2012:i:1:p:21-34
    DOI: 10.1080/09535314.2011.615824
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    Citations

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    Cited by:

    1. Miguel, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2011. "Simulating the Impact of Sectorial Productivity Gains on Two Regional Economies: Key Sectors from a Supply Side Perspective," Working Papers 2072/169681, Universitat Rovira i Virgili, Department of Economics.
    2. Francisco Miguel & Maria Llop & Antonio Manresa, 2014. "Sectoral productivity gains in two regional economies: key sectors from a supply-side perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 731-744, November.
    3. Erik Dietzenbacher & Manfred Lenzen & Bart Los & Dabo Guan & Michael L. Lahr & Ferran Sancho & Sangwon Suh & Cuihong Yang, 2013. "Input--Output Analysis: The Next 25 Years," Economic Systems Research, Taylor & Francis Journals, vol. 25(4), pages 369-389, December.
    4. Miguel Vélez, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2013. "Supply Multipliers in Two Regional Economies," Working Papers 2072/213636, Universitat Rovira i Virgili, Department of Economics.
    5. M. Alejandro Cardenete & M. Carmen Lima & Ferran Sancho, 2017. "A multiplier evaluation of primary factors supply–shocks," Working Papers 17.01, Universidad Pablo de Olavide, Department of Economics, Quantitative Methods and Economic History.

    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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