IDEAS home Printed from https://ideas.repec.org/p/tiu/tiutis/7a0ed98e-134b-4fa4-a97c-4ab73a84d454.html
   My bibliography  Save this paper

Bayesian Integration of Large Scale SNA Data Frameworks with an Application to Guatemala

Author

Listed:
  • Van Tongeren, J.W.

    (Tilburg University, School of Economics and Management)

  • Magnus, J.R.

    (Tilburg University, School of Economics and Management)

Abstract

No abstract is available for this item.

Suggested Citation

  • Van Tongeren, J.W. & Magnus, J.R., 2011. "Bayesian Integration of Large Scale SNA Data Frameworks with an Application to Guatemala," Other publications TiSEM 7a0ed98e-134b-4fa4-a97c-4, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:7a0ed98e-134b-4fa4-a97c-4ab73a84d454
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/ws/portalfiles/portal/1320018/2011-022.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jan W. van Tongeren, 2004. "Designing analytical data frameworks," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(2), pages 279-297, June.
    2. Marshall B. Reinsdorf, 2010. "Terms Of Trade Effects: Theory And Measurement," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 177-205, June.
    3. Dale W. Jorgenson & J. Steven Landefeld, 2009. "Implementation of a New Architecture for the US National Accounts," American Economic Review, American Economic Association, vol. 99(2), pages 64-68, May.
    4. Danilov, Dmitry & Magnus, Jan R., 2008. "On the estimation of a large sparse Bayesian system: The Snaer program," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4203-4224, May.
    5. Jan R. Magnus & Jan W. van Tongeren & Aart F. de Vos, 2000. "National Accounts Estimation Using Indicator Ratios," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(3), pages 329-350, September.
    6. Frits Bos, 2009. "The Art And Craft Of Compiling National Accounts Statistics And Their Implications For Reliability," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(4), pages 930-958, December.
    7. André Vanoli, 2010. "The New Architecture Of The U.S. National Accounts And Its Relationship To The Sna," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 734-751, December.
    8. Dmitry Danilov & Jan R. Magnus, 2007. "Some equivalences in linear estimation (in Russian)," Quantile, Quantile, issue 3, pages 83-90, September.
    9. repec:bla:revinw:v:46:y:2000:i:3:p:329-50 is not listed on IDEAS
    10. Anne‐Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 395-406, September.
    11. Dale Jorgenson & Steve Landefeld & William Nordhaus, 2010. "A New Architecture For The U.S. National Accounts: A Reply To André Vanoli," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 752-761, December.
    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. Temel, Tugrul, 2011. "Estimation of a system of national accounts: implementation with mathematica," MPRA Paper 35446, University Library of Munich, Germany.

    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. Van Tongeren, J.W., 2011. "From national accounting to the design, compilation, and use of bayesian policy and analysis frameworks," Other publications TiSEM e2d6399b-fdf5-4147-b414-3, Tilburg University, School of Economics and Management.
    2. Van Tongeren, J.W. & Magnus, J.R., 2011. "Bayesian Integration of Large Scale SNA Data Frameworks with an Application to Guatemala," Discussion Paper 2011-022, Tilburg University, Center for Economic Research.
    3. van Tongeren, Jan W. & Bruil, Arjan, 2022. "Projections to 2025 of the household sector within the Dutch economy," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    4. Peter ven de Ven & Anne Harrison & Barbara Fraumeni & Andre Vanoli, 2017. "The Future of the SNA in a Broad Information System Perspective," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 238-265, December.
    5. Temel, Tugrul, 2011. "Estimation of a system of national accounts: implementation with mathematica," MPRA Paper 35446, University Library of Munich, Germany.
    6. Danilov, Dmitry & Magnus, Jan R., 2008. "On the estimation of a large sparse Bayesian system: The Snaer program," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4203-4224, May.
    7. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    8. Hanson, Kenneth & Somwaru, Agapi, 2003. "Distributional Effects of U.S. Farm Commodity Programs: Accounting for Farm and Non-Farm Households," Conference papers 331120, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Bert M. Balk, 2010. "An Assumption‐Free Framework For Measuring Productivity Change," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 224-256, June.
    10. Yusuf, Arief Anshory, 2006. "On the re-assessment of inequality in Indonesia: household survey or national account?," MPRA Paper 1728, University Library of Munich, Germany.
    11. Agenor, Pierre-Richard & Chen, Derek H.C. & Grimm, Michael, 2004. "Linking representative household models with household surveys for poverty analysis : a comparison of alternative methodologies," Policy Research Working Paper Series 3343, The World Bank.
    12. Ulrich Kohli, 2022. "Trading Gains and Productivity: A Törnqvist Approach," International Productivity Monitor, Centre for the Study of Living Standards, vol. 42, pages 63-86, Spring.
    13. Bourguignon, François & Bussolo, Maurizio, 2013. "Income Distribution in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1383-1437, Elsevier.
    14. Nabil Annabi & Fatou Cissé & John Cockburn & Bernard Decaluwé, 2005. "Trade Liberalisation, Growth and Poverty in Senegal: a Dynamic Microsimulation CGE Model Analysis," Cahiers de recherche 0512, CIRPEE.
    15. Giulia Colombo, 2010. "Linking CGE and microsimulation models: a comparison of different approaches," International Journal of Microsimulation, International Microsimulation Association, vol. 3(1), pages 72-91.
    16. Casey B. Mulligan, 2020. "Economic Activity and the Value of Medical Innovation during a Pandemic," Working Papers 2020-48, Becker Friedman Institute for Research In Economics.
    17. Luca Tiberti & Martin Cicowiez & John Cockburn, 2018. "A Top-Down with Behaviour (TDB) Microsimulation Toolkit for Distributive Analysis," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 191-213.
    18. Ton de Waal & Arnout van Delden & Sander Scholtus, 2020. "Multi‐source Statistics: Basic Situations and Methods," International Statistical Review, International Statistical Institute, vol. 88(1), pages 203-228, April.
    19. Semieniuk, Gregor, 2024. "Inconsistent definitions of GDP: Implications for estimates of decoupling," Ecological Economics, Elsevier, vol. 215(C).
    20. Stefania Lovo & Paola De Agostini & Francesco Pecci & Paola De Agostini & Federico Perali, 2000. "Analyzing the Impact of Alternative Management Scenarios For Natural Areas Using a Local Sam," Regional and Urban Modeling 283600058, EcoMod.

    More about this item

    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:tiu:tiutis:7a0ed98e-134b-4fa4-a97c-4ab73a84d454. 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: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .

    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.