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Assessing the Behaviour of Non-Survey Methods of Constructing Regional Input-Output Tables through a Monte Carlo Simulation

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Listed:
  • Andrea BONFIGLIO

    ([n.a.])

  • Francesco CHELLI

    () (Universita' Politecnica delle Marche, Dipartimento di Economia)

Abstract

The paper aims to analyse the tendency of a battery of non-survey techniques of constructing regional I-O tables to over-(under-)estimate impact. The behaviour of the regionalization methods is assessed relatively to the techniques analysed. For this aim, a Monte Carlo simulation has been carried out. Then, a multidimensional scaling procedure has been applied to search for a common and repeated structure of differences among the methods and to give an immediate picture of possible implications, in terms of impact direction, coming from the choice of a given regionalisation method rather than another. Afterwards, the results have been compared to those obtained by applying the same procedure to 2000 I-O tables, which have been mechanically constructed for the 20 Italian regions. The results indicate that the choice of the regionalization method is crucial in estimating multipliers. According to the chosen method, the extent of multipliers could be considerably bigger or lower. This can have serious repercussions in terms of policy choices and, therefore, policy makers and I-O analysts should be aware of it. In addition, the results have confirmed a tendency of the methods to over-(under)-estimate impact both statistically and empirically. However, they have also shown that sectoral aggregation can reverse this tendency. Finally, from an economic point of view, it turned out that the most recent Flegg et al. Location Quotient (Flegg et al., 1995; Flegg and Webber, 1997) is the best to represent regional economies.

Suggested Citation

  • Andrea BONFIGLIO & Francesco CHELLI, 2007. "Assessing the Behaviour of Non-Survey Methods of Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Working Papers 293, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:293
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    Citations

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    Cited by:

    1. Ugo FRATESI, 2010. "The National and International Effects;of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics," Working Papers 344, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Luca RICCETTI, 2010. "Minimum Tracking Error Volatility," Working Papers 340, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Luca RICCETTI, 2011. "A Copula-GARCH Model for Macro Asset Allocation of a Portfolio with Commodities: an Out-of-Sample Analysis," Working Papers 355, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Fabio FIORILLO & Agnese SACCHI, 2010. "I Want to Free-ride. An Opportunistic View on Decentralization Versus Centralization Problem," Working Papers 346, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Elena AMBROSETTI & Eralba CELA & Tineke FOKKEMA, 2011. "The Remittances Behaviour of the Second Generation in Europe: Altruism or Self-Interest?," Working Papers 368, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    More about this item

    Keywords

    Monte Carlo simulation; impact analysis; multidimensional scaling procedure; non-survey techniques; regional policy;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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