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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 application for Buenos Aires City]

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  • Mastronardi, Leonardo Javier
  • Romero, Carlos Adrián

Abstract

The input output analysis is used by a lot of cities with the objective to study interregional trade problems. We focused our work on Argentina, and we present a model with two regions: Buenos Aires city and the rest of the country. Buenos Aires does not have an Input Output Tables or a regional account system, so we have to estimate the model with non-survey and calibration techniques. Non-survey techniques are commonly used to model intraregional trade in a region. We used the AFLQ location quotient to estimate the trade in each region. Then we must to compute the regional imports/exports, and for this we based our work on calibration techniques. Biproportional adjustment (RAS) and cross entropy were the calibration techniques used to build the interregional input output model. In the presented case the work find that cross entropy could reply exactly the national input output tables, because it enforce additional constraints. If we look the results, RAS technique overestimate the Buenos Aires technical coefficients compared with cross entropy. There are not substantial differences on technical coefficients between RAS and cross entropy in the other region.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 37006.

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Date of creation: 29 Feb 2012
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Handle: RePEc:pra:mprapa:37006

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Keywords: Matriz insumo-producto regional. RAS. Entropía. Coeficientes de localización;

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References

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  1. JH Ll DEWHURST, . "Regional Size, Industrial Location And Input-Output Expenditure Coefficients," Dundee Discussion Papers in Economics 074, Economic Studies, University of Dundee.
  2. 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.
  3. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-49, August.
  4. Robinson, Sherman & Cattaneo, Andrea & El-Said, Moataz, 1998. "Estimating a social accounting matrix using cross entropy methods:," TMD discussion papers 33, International Food Policy Research Institute (IFPRI).
  5. Romero, Carlos A., 2009. "Calibración de modelos de equilibrio general computado: Métodos y práctica usual
    [Calibration of CGE models: Methods and current practice]
    ," MPRA Paper 17767, University Library of Munich, Germany.
  6. 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.
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Cited by:
  1. Chisari, Omar Osvaldo & Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Local taxes in Buenos Aires City: A CGE approach," MPRA Paper 40029, University Library of Munich, Germany.
  2. 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.
  3. Mastronardi, Leonardo Javier, 2013. "Federalismo fiscal en Argentina: Un análisis de efectos spillover mediante un CGE regional
    [Fiscal Federalism in Argentina: An analysis of spillover effects using a regional CGE]
    ," MPRA Paper 54376, University Library of Munich, Germany.

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