IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Modeling the International-Trade Network: A Gravity Approach

  • Marco Duenas
  • Giorgio Fagiolo

This paper investigates whether the gravity model (GM) can explain the statistical properties of the International Trade Network (ITN). We fit data on international-trade flows with a GM specification using alternative fitting techniques and we employ GM estimates to build a weighted predicted ITN, whose topological properties are compared to observed ones. Furthermore, we propose an estimation strategy to predict the binary ITN with a GM. We find that the GM successfully replicates the weighted-network structure of the ITN, only if one fixes its binary architecture equal to the observed one. Conversely, the GM performs very badly when asked to predict the presence of a link, or the level of the trade flow it carries, whenever the binary structure must be simultaneously estimated.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://arxiv.org/pdf/1112.2867
File Function: Latest version
Download Restriction: no

Paper provided by arXiv.org in its series Papers with number 1112.2867.

as
in new window

Length:
Date of creation: Dec 2011
Date of revision:
Handle: RePEc:arx:papers:1112.2867
Contact details of provider: Web page: http://arxiv.org/

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Gabriel J. Felbermayr & Wilhelm Kohler, 2004. "Exploring the Intensive and Extensive Margins of World Trade," CESifo Working Paper Series 1276, CESifo Group Munich.
  2. Joao Santos Silva & Silvana Tenreyro, 2005. "The log of gravity," LSE Research Online Documents on Economics 3744, London School of Economics and Political Science, LSE Library.
  3. Simon J. Evenett & Wolfgang Keller, 2002. "On Theories Explaining the Success of the Gravity Equation," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 281-316, April.
  4. Paul Krugman, 1995. "Growing World Trade: Causes and Consequences," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1, 25th A), pages 327-377.
  5. Giorgio Fagiolo, 2009. "The International-Trade Network: Gravity Equations and Topological Properties," Papers 0908.2086, arXiv.org.
  6. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
  7. Tiziano Squartini & Giorgio Fagiolo & Diego Garlaschelli, 2011. "Randomizing world trade. I. A binary network analysis," Papers 1103.1243, arXiv.org, revised Nov 2011.
  8. Michele Fratianni, 2007. "The Gravity Equation in International Trade," Working Papers 2007-17, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
  9. Helliwell, John F. & Padmore, Tim, 1985. "Empirical studies of macroeconomic interdependence," Handbook of International Economics, in: R. W. Jones & P. B. Kenen (ed.), Handbook of International Economics, edition 1, volume 2, chapter 21, pages 1107-1151 Elsevier.
  10. Andrew K. Rose & Mark M. Spiegel, 2002. "A gravity model of sovereign lending: trade, default and credit," Working Paper Series 2002-09, Federal Reserve Bank of San Francisco.
  11. Raja Kali & Fabio Mendez & Javier Reyes, 2007. "Trade structure and economic growth," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 16(2), pages 245-269.
  12. Ana Beatriz Galv�o & Michael Artis & Massimiliano Marcellino, 2007. "The transmission mechanism in a changing world," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 39-61.
  13. Burger, M.J. & van Oort, F.G. & Linders, G.J.M., 2009. "On the Specification of the Gravity Model of Trade: Zeros, Excess Zeros and Zero-Inflated Estimation," ERIM Report Series Research in Management ERS-2009-003-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  14. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "Using Complex Network Analysis to Assess the Evolution of International Economic Integration: The cases of East Asia and Latin America," Sciences Po publications 2007/25, Sciences Po.
  15. Massimo Riccaboni & Stefano Schiavo, 2009. "The Structure and Growth of Weighted Networks," Papers 0908.0348, arXiv.org, revised Dec 2009.
  16. Baldwin, Richard & Taglioni, Daria, 2006. "Gravity for Dummies and Dummies for Gravity Equations," CEPR Discussion Papers 5850, C.E.P.R. Discussion Papers.
  17. D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 57(2), pages 159-164, 05.
  18. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2011. "Null Models of Economic Networks: The Case of the World Trade Web," LEM Papers Series 2011/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  19. Tilak Abeysinghe & Kristin Forbes, 2005. "Trade Linkages and Output-Multiplier Effects: a Structural VAR Approach with a Focus on Asia," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 356-375, 05.
  20. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2008. "The World-Trade Web: Topological Properties, Dynamics, and Evolution," LEM Papers Series 2008/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  21. Anderson, James E, 1979. "A Theoretical Foundation for the Gravity Equation," American Economic Review, American Economic Association, vol. 69(1), pages 106-16, March.
  22. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
  23. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
  24. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, June.
  25. repec:lmu:muenar:20646 is not listed on IDEAS
  26. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, 08.
  27. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
  28. James E. Anderson & Eric van Wincoop, 2000. "Gravity with Gravitas: A Solution to the Border Puzzle," Boston College Working Papers in Economics 485, Boston College Department of Economics.
  29. Javier Reyes & Stefano Schiavo & Giorgio Fagiolo, 2008. "Assessing The Evolution Of International Economic Integration Using Random Walk Betweenness Centrality: The Cases Of East Asia And Latin America," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 685-702.
  30. Dées, Stéphane & Saint-Guilhem, Arthur, 2009. "The role of the United States in the global economy and its evolution over time," Working Paper Series 1034, European Central Bank.
  31. Matteo Barigozzi & Giorgio Fagiolo & Diego Garlaschelli, 2009. "Multinetwork of international trade: A commodity-specific analysis," Papers 0908.1879, arXiv.org, revised Jun 2010.
  32. D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," Papers physics/0701030, arXiv.org.
  33. Tiziano Squartini & Giorgio Fagiolo & Diego Garlaschelli, 2011. "Randomizing world trade. II. A weighted network analysis," Papers 1103.1249, arXiv.org, revised Nov 2011.
  34. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "The Evolution of the World Trade Web," LEM Papers Series 2007/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:arx:papers:1112.2867. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (arXiv administrators)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.