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Building an input-output Model for Buenos Aires City

  • Chisari, Omar Osvaldo
  • Mastronardi, Leonardo Javier
  • Romero, Carlos Adrián

Buenos Aires City (BAC) is the Argentina’s biggest city and the second largest metropolitan area in South America after Sao Paulo (Brazil). Assessing regional effects might be useful to take political or/and economic decisions, considering the dimension and the economic importance of Buenos Aires City. Taking into consideration the latter background information, the aim of this paper is to quantify the BAC’s interregional flows, evaluating direct and indirect regional effects with other regions of Argentina. At this regard, different levels of integration and dependence between BAC and the other regions country can be estimated applying and Interregional Input Output model. This is the first time a input-output matrix is constructed for Buenos Aires, which does not have a Regional Accounts System available. To tackle this problem, our model uses non-survey and calibration techniques. The paper focuses on the building process of that Input–Output Model and presents the estimations for intraregional and interregional tables. In particular, Argentina is separated in two regions, BAC and the rest of the country. The estimations to measure the Intraregional coefficients for each region are based on non-survey techniques, using Location Quotients (Simple Location Quotient, Cross Industry, Flegg’s Location Quotient and Augmented Flegg’s Location Quotient). Two common alternative ways to balance these matrices, the RAS and cross entropy methods are adapted to estimate the interregional coefficients.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 40028.

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Date of creation: 28 Feb 2012
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Handle: RePEc:pra:mprapa:40028
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  1. 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.
  2. 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).
  3. 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.
  4. 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.
  5. JH Ll DEWHURST, . "Regional Size, Industrial Location And Input-Output Expenditure Coefficients," Dundee Discussion Papers in Economics 074, Economic Studies, University of Dundee.
  6. 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.
  7. 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.
  8. McDougall, Robert, 1999. "Entropy Theory and RAS are Friends," GTAP Working Papers 300, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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