IDEAS home Printed from https://ideas.repec.org/p/uwe/wpaper/20151508.html
   My bibliography  Save this paper

Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of C¨®rdoba, Argentina

Author

Listed:
  • Tony Flegg

    (University of the West of England, Bristol)

  • Leonardo J. Mastronardi

    (Universidad Argentina de la Empresa)

  • Carlos A. Romero

    (Universidad Argentina de la Empresa)

Abstract

This paper uses survey-based data for the Argentinian province of C¨®rdoba to conduct an empirical test of the performance of the FLQ and AFLQ formulae for estimating regional input coefficients. A comparison is made with conventional methods based on location quotients. The possibility of using prior information about the extent of self-sufficiency of particular sectors is explored. The empirical work employs a range of statistical criteria with contrasting properties, and examines performance in terms of each method¡¯s ability to estimate regional input coefficients, output multipliers and imports. Particular attention is paid to the problem of choosing a value for the unknown parameter ¦Ä in the FLQ and AFLQ formulae. These formulae are found to give the best overall results of the non-survey methods considered in the paper. However, the AFLQ typically produces slightly more accurate results than the FLQ, in line with the findings of previous studies.

Suggested Citation

  • Tony Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2015. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of C¨®rdoba, Argentina," Working Papers 20151508, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    • Handle: RePEc:uwe:wpaper:20151508
    as

    Download full text from publisher

    File URL: http://www2.uwe.ac.uk/faculties/BBS/BUS/Research/Economics%20Papers%202015/1508.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. G. Lindberg & P. Midmore & Y. Surry, 2012. "Agriculture’s Inter-industry Linkages, Aggregation Bias and Rural Policy Reforms," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 552-575, September.
    2. Tobias Kronenberg, 2009. "Construction of Regional Input-Output Tables Using Nonsurvey Methods," International Regional Science Review, , vol. 32(1), pages 40-64, January.
    3. Andrea Bonfiglio, 2009. "On The Parameterization Of Techniques For Representing Regional Economic Structures," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 115-127.
    4. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    5. Michael L. Lahr & Benjamin H. Stevens, 2002. "A Study of the Role of Regionalization in the Generation of Aggregation Error in Regional Input –Output Models," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 477-507, August.
    6. 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.
    7. 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.
    8. C H Sawyer & R E Miller, 1983. "Experiments in Regionalization of a National Input—Output Table," Environment and Planning A, , vol. 15(11), pages 1501-1520, November.
    9. M H Robison & J R Miller, 1988. "Cross-Hauling and Nonsurvey Input—Output Models: Some Lessons from Small-Area Timber Economies," Environment and Planning A, , vol. 20(11), pages 1523-1530, November.
    10. Michael Lahr, 2001. "Reconciling Domestication Techniques, the Notion of Re-exports and Some Comments on Regional Accounting," Economic Systems Research, Taylor & Francis Journals, vol. 13(2), pages 165-179.
    11. Tobias Kronenberg, 2012. "Regional input-output models and the treatment of imports in the European System of Accounts (ESA)," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 175-191, September.
    12. 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.
    13. Andrea Bonfiglio & Francesco Chelli, 2008. "Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 243-258.
    14. Randall Jackson, 1998. "Regionalizing National Commodity-by-Industry Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 10(3), pages 223-238.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    2. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2014. "Empirical evidence on the use of the FLQ formula for regionalizing national input-output tables: The case of the Province of C¨®rdoba, Argentina," Working Papers 20141406, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    3. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    4. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei, China," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 391-413, September.
    5. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using CHARM to adjust for cross-hauling: the case of the Province of Hubei, China," Working Papers 20151506, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    6. Lankhuizen, Maureen & Boonstra, Harm Jan & de Blois, Chris, 2020. "Unpacking freight – Identifying conditions driving regional freight transport in statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 415-435.
    7. Anthony T. Flegg & Timo Tohmo, 2013. "Estimating regional input coefficients and multipliers: The Use of the FLQ is not a Gamble," Working Papers 20131302, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    8. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    9. Gunnar Lindberg, 2011. "On the appropriate use of (input-output) coefficients to generate non-survey regional input-output tables: Implications for the determination of output multipliers," ERSA conference papers ersa10p800, European Regional Science Association.
    10. 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.
    11. Kronenberg, Tobias & Többen, Johannes, 2011. "Regional input-output modelling in Germany: The case of North Rhine-Westphalia," MPRA Paper 35494, University Library of Munich, Germany.
    12. Mattia Cai, 2021. "Doubly constrained gravity models for interregional trade estimation," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 455-474, April.
    13. José Daniel Buendía Azorín & Rubén Martínez Alpañez & Maria del Mar Sánchez de la Vega, 2022. "A new proposal to model regional input–output structures using location quotients. An application to Korean and Spanish regions," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1219-1237, October.
    14. Kowalewski, Julia, 2012. "Regionalization of national input-output tables: Empirical evidence on the use of the FLQ formula," HWWI Research Papers 126, Hamburg Institute of International Economics (HWWI).
    15. Anthony Flegg & Timo Tohmo, 2011. "Regional Input-Output Tables and the FLQ Formula: A Case Study of Finland," ERSA conference papers ersa11p334, European Regional Science Association.
    16. 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.
    17. Tobias Kronenberg, 2012. "Regional input-output models and the treatment of imports in the European System of Accounts (ESA)," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 175-191, September.
    18. Cristian Mardones & Darling Silva, 2021. "Estimation of regional input coefficients and output multipliers for the regions of Chile," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 875-889, August.
    19. Cristian Mardones & Darling Silva, 2023. "Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1173-1205, March.
    20. Xiaoyun Zhao & Sung-Goan Choi, 2015. "On the regionalization of input–output tables with an industry-specific location quotient," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 901-926, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:uwe:wpaper:20151508. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jo Michell (email available below). General contact details of provider: https://edirc.repec.org/data/seuweuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.