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Ca Non-survey Methods Substitute for Survey-based Models ? A Performance Analysis of Indirect Techniques of Estimating I-O Coefficients and Multipliers

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  • Andrea BONFIGLIO

    ([n.a.])

Abstract

The objective of this article is to evaluate performances of eight non-survey methods in reproducing a survey-based I-O model in a both partitive and holistic sense. In order to evaluate methods, a package of statistics is selected and applied. The main results of the analysis are as follows. The Purchases-only Location Quotient (PLQ) demonstrates to overcome all the others in reproducing survey-based I-O coefficients whereas the Flegg et al. Location Quotient (FLQ) performs better in estimating survey-based output multipliers. Overall, the non-survey methods examined produce better results in estimating multipliers rather than I-O coefficients. In any case, estimates are too far from the survey-based ones. For this reason, methods should not be used alone but integrated with all available exogenous information within hybrid procedures.

Suggested Citation

  • Andrea BONFIGLIO, 2005. "Ca Non-survey Methods Substitute for Survey-based Models ? A Performance Analysis of Indirect Techniques of Estimating I-O Coefficients and Multipliers," Working Papers 230, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    • Handle: RePEc:anc:wpaper:230
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    1. J H Ll DEWHURST & G LESLIE, "undated". "Using The Ras Technique As A Test Of Hybrid. Methods Of Regional Input-Output Table Updating," Dundee Discussion Papers in Economics 016, Economic Studies, University of Dundee.
    2. 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.
    3. Canning, Patrick & Wang, Zhi, 2003. "A Flexible Modeling Framework to Estimate Interregional Trade Patterns and Input-Output Accounts," Conference papers 331136, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. A. T. Flegg & C. D. Webber, 2000. "Regional Size, Regional Specialization and the FLQ Formula," Regional Studies, Taylor & Francis Journals, vol. 34(6), pages 563-569.
    5. Stanislaw Czamanski & Emil E. Malizia, 1969. "Applicability And Limitations In The Use Of National Input‐Output Tables For Regional Studies," Papers in Regional Science, Wiley Blackwell, vol. 23(1), pages 65-78, January.
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    Cited by:

    1. Xesús Pereira-López & Napoleón Guillermo Sánchez-Chóez & Melchor Fernández-Fernández, 2021. "Performance of bidimensional location quotients for constructing input–output tables," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-16, December.
    2. Institut für Wirtschaftsforschung Halle (Ed.), 2013. "Neuere Anwendungsfelder der Input-Output-Analyse: Beiträge zum Halleschen Input-Output-Workshop 2012," IWH-Sonderhefte 1/2013, Halle Institute for Economic Research (IWH).
    3. Renato BALDUCCI, 2005. "Public Expenditure and Economic Growth. A critical extension of Barro's (1990) model," Working Papers 240, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Ryohei Nakamura, 2013. "A New Approach to the Endogenous Correction of Interregional Income Disparity: Extended Interregional IO by Trading Biomass CO2 Credit," ERSA conference papers ersa13p367, European Regional Science Association.
    5. Yu. Yu. Ponomarev & D. Yu. Evdokimov, 2021. "Construction of Truncated Input–Output Tables for Russian Regions Using Location Quotients," Studies on Russian Economic Development, Springer, vol. 32(6), pages 619-630, November.
    6. Tobias Kronenberg, 2009. "Construction of Regional Input-Output Tables Using Nonsurvey Methods," International Regional Science Review, , vol. 32(1), pages 40-64, January.
    7. Ageliki Anagnostou & Pawel Gajewski, 2021. "Multi-Regional Input–Output Tables for Macroeconomic Simulations in Poland’s Regions," Economies, MDPI, vol. 9(4), pages 1-19, October.
    8. Georgios Lampiris & Christos Karelakis & Efstratios Loizou, 2020. "Comparison of non-survey techniques for constructing regional input–output tables," Annals of Operations Research, Springer, vol. 294(1), pages 225-266, November.
    9. Olli Lehtonen & Markku Tykkyl�inen, 2014. "Estimating Regional Input Coefficients and Multipliers: Is the Choice of a Non-Survey Technique a Gamble?," Regional Studies, Taylor & Francis Journals, vol. 48(2), pages 382-399, February.
    10. Roberto ESPOSTI & Pierpaolo PIERANI, 2005. "Price, Private Demand and Optimal Provision of Public R&D in Italian Agriculture," Working Papers 238, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

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    More about this item

    Keywords

    input-output matrices; non survey-techniques; performances analysis; survey-based model;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • 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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