IDEAS home Printed from https://ideas.repec.org/p/cns/cnscwp/200902.html
   My bibliography  Save this paper

Constructing a Social Accounting Matrix for Sardinia

Author

Listed:
  • G. Ferrari
  • G. Garau
  • P. Lecca

Abstract

Recently, the Social Accounting Matrix (SAM) has been resurrected as a policy analysis tool and, in the last decade, attention has been paid to SAM multipliers, as well as to the use of the SAM as a benchmark for computable general equilibrium models. This paper constructs a SAM for the regional economy of Sardinia that can be used for policy evaluation and impact analysis. A mixture of approaches is used from simple compilation and decomposition methods to procedures for matrix estimations and matrix balancing.

Suggested Citation

  • G. Ferrari & G. Garau & P. Lecca, 2009. "Constructing a Social Accounting Matrix for Sardinia," Working Paper CRENoS 200902, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:200902
    as

    Download full text from publisher

    File URL: https://crenos.unica.it/crenos/node/1267
    Download Restriction: no

    File URL: https://crenos.unica.it/crenos/sites/default/files/WP_09-02.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    2. Jeffrey Round, 2003. "Constructing SAMs for Development Policy Analysis: Lessons Learned and Challenges Ahead," Economic Systems Research, Taylor & Francis Journals, vol. 15(2), pages 161-183.
    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 541-549, August.
    4. Richard Stone, 1951. "Simple Transaction Models, Information and Computing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 19(2), pages 67-84.
    5. Michael H. Schneider & Stavros A. Zenios, 1990. "A Comparative Study of Algorithms for Matrix Balancing," Operations Research, INFORMS, vol. 38(3), pages 439-455, June.
    6. Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    7. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    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. Lecca, Patrizio & McGregor, Peter G. & Swales, J. Kim, 2013. "Forward-looking and myopic regional Computable General Equilibrium models: How significant is the distinction?," Economic Modelling, Elsevier, vol. 31(C), pages 160-176.
    2. Giorgio Garau & Patrizio Lecca, 2015. "The Impact of Regional R&D Subsidy in a Computable General Equilibrium Model," International Regional Science Review, , vol. 38(4), pages 319-357, October.

    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. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    2. Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    3. Ramos Carvajal, Carmen & Fernández Vázquez, Esteban, 2002. "Temporal projection of an input-output tables series for the region of Asturias," ERSA conference papers ersa02p211, European Regional Science Association.
    4. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    5. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    6. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    7. Marc Mueller & Emanuele Ferrari, 2012. "Social Accounting Matrices and Satellite Accounts for EU27 on NUTS2 Level (SAMNUTS2)," JRC Research Reports JRC73088, Joint Research Centre.
    8. Wobst, Peter & Arndt, Channing, 2004. "HIV/AIDS and Labor Force Upgrading in Tanzania," World Development, Elsevier, vol. 32(11), pages 1831-1847, November.
    9. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(01), pages 1-18, July.
    10. Msangi, Siwa & Howitt, Richard E., 2006. "Estimating Disaggregate Production Functions: An Application to Northern Mexico," 2006 Annual meeting, July 23-26, Long Beach, CA 21080, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
    12. Rosa Bernardini Papalia, 2011. "An information theoretic approach to ecological inference in presence of spatial heterogeneity and dependence," ERSA conference papers ersa11p317, European Regional Science Association.
    13. Noland, Marcus & Robinson, Sherman & Wang, Tao, 2000. "Modeling Korean Unification," Journal of Comparative Economics, Elsevier, vol. 28(2), pages 400-421, June.
    14. Torlak, Elvisa, 2004. "Foreign Direct Investment, Technology Transfer and Productivity Growth. Empirical Evidence for Hungary, Poland, Romania, Bulgaria and the Czech Republic," Conference papers 331189, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. V. Kumar & Alok R. Saboo & Amit Agarwal & Binay Kumar, 2020. "Generating Competitive Intelligence with Limited Information: A Case of the Multimedia Industry," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 192-213, January.
    16. Lugovoy, Oleg & Polbin, Andrey & Potashnikov, Vladimir, 2015. "Bayesian Updating of Input-Output Tables," Conference papers 332664, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    17. Peters, Jeffrey C. & Hertel, Thomas W., 2016. "The database–modeling nexus in integrated assessment modeling of electric power generation," Energy Economics, Elsevier, vol. 56(C), pages 107-116.
    18. Bahta, Yonas Tesfamariam, 2014. "The Impact Of International Oil Price Increase On The Economy Of Free State Province Of South Africa," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(01), pages 1-10, January.
    19. Wang, Sun Ling & Somwaru, Agapi & Ball, Eldon, 2015. "Education, Labor Quality and U.S. Agricultural Growth," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205351, Agricultural and Applied Economics Association.
    20. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2007. "Generating plausible crop distribution and performance maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach," IFPRI discussion papers 725, International Food Policy Research Institute (IFPRI).

    More about this item

    Keywords

    social accounting matrix; input-output; doubly constrained minimum information (mi) model; cross entropy; regional account system;
    All these keywords.

    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cns:cnscwp:200902. 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: CRENoS (email available below). General contact details of provider: https://edirc.repec.org/data/crenoit.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.