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Análisis de coeficientes de localización. El caso de la provincia de Córdoba
[Location quotient analysis. The case of Córdoba state]

Author

Listed:
  • Romero, Carlos Adrian
  • Mastronardi, Leonardo Javier
  • Faye, Magalí Julieta

Abstract

There is a regional input-output table for Córdoba, an Argentinian province, estimated by survey techniques. In this paper, non-survey techniques are tested, through the FLQ and ALFQ location quotients, using different values of δ, a parameter that appear in these formulas. The aim of this work is to measure the relative performance, in terms of the distance between the transactions estimated by the indirect methods and the real regional transactions (acquired by the direct methods). Consequently, a value of δ equals to 0.177 is the most accurate one, since it minimizes the standard deviation between the estimated matrix and the starting AFLQ´s. Besides, the production multipliers´ performance tests calculated on the AFLQ´s matrix, also find the value of this parameter (δ) in an interval between 0.15 and 0.18.

Suggested Citation

  • Romero, Carlos Adrian & Mastronardi, Leonardo Javier & Faye, Magalí Julieta, 2012. "Análisis de coeficientes de localización. El caso de la provincia de Córdoba [Location quotient analysis. The case of Córdoba state]," MPRA Paper 36997, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:36997
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    References listed on IDEAS

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    1. Chisari, Omar & Ferro, Gustavo & González, Mariano & León, Sonia & Maquieryra, Javier & Mastronardi, Leonardo & Roitman, Mauricio & Romero, Carlos & Theller, Ricardo, 2010. "Modelo de Equilibrio General Computado para la Argentina 2006," UADE Textos de Discusión 63_2010, Instituto de Economía, Universidad Argentina de la Empresa.
    2. Timo Tohmo, 2004. "New Developments in the Use of Location Quotients to Estimate Regional Input-Output Coefficients and Multipliers," Regional Studies, Taylor & Francis Journals, vol. 38(1), pages 43-54.
    3. A. T. Flegg & C. D. Webber, 1997. "On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply," Regional Studies, Taylor & Francis Journals, vol. 31(8), pages 795-805.
    4. Philip Mccann & John H. LL. Dewhurst, 1998. "Regional Size, Industrial Location and Input-Output Expenditure Coefficients," Regional Studies, Taylor & Francis Journals, vol. 32(5), pages 435-444.
    5. Argyrios D. Kolokontes & Chrysovalantis Karafillis & Fotios Chatzitheodoridis, 2008. "Argyrios D. Kolokontes, Chrysovalantis Karafillis, Fotios Chatzitheodoridis - Peculiarities and usefulness of multipliers, elasticities and location quotients for the regional development planning: an," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 2(2), pages 118-133, December.
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    Cited by:

    1. Chisari, Omar Osvaldo & Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Building an input-output Model for Buenos Aires City," MPRA Paper 40028, University Library of Munich, Germany.
    2. Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Estimación de matrices de insumo producto regionales mediante métodos indirectos. Una aplicación para la ciudad de Buenos Aires [A non-survey estimation for regional input-output tables. An applica," MPRA Paper 37006, University Library of Munich, Germany.

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    More about this item

    Keywords

    Regional input output model. Location quotients;

    JEL classification:

    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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