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Examining the non-linear relationship between migration and trade

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  • Guadalupe Serrano-Domingo

    ()
    (University of Valencia)

  • Francisco Requena-Silvente

    ()
    (University of Valencia)

Abstract

The migration-trade link has been studied extensively since the mid nineties, finding a positive impact through different channels. Based on the generalized propensity score (GPS) methodology, we estimate a dose-response function, depicting a non-linear impact of immigration on exports using regional data for Spain and Italy. For both countries the elasticity of province exports to immigration from a given nationality is always positive. However, it is magnitude varies with the level of immigrants: increasing with less than 100 immigrants; decreasing between 100 and 1500; increasing again with more than 1500. In contrast to previous studies that use country-level data, we find no exhaustion point in the effectiveness of the immigration networks on regional exports.

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Bibliographic Info

Paper provided by Department of Applied Economics II, Universidad de Valencia in its series Working Papers with number 1310.

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Length: 41 pages
Date of creation: Mar 2013
Date of revision:
Handle: RePEc:eec:wpaper:1310

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Keywords: Immigration; exports; generalized propensity score; dose-response function; Spanish provinces; Italian provinces;

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  1. Subhayu Bandyopadhyay & Cletus C. Coughlin & Howard J. Wall, 2008. "Ethnic Networks and US Exports," Review of International Economics, Wiley Blackwell, vol. 16(1), pages 199-213, 02.
  2. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-54, July.
  3. Giovanni Peri & Francisco Requena-Silvente, 2010. "The trade creation effect of immigrants: evidence from the remarkable case of Spain," Canadian Journal of Economics, Canadian Economics Association, vol. 43(4), pages 1433-1459, November.
  4. Massimiliano Bratti & Luca de Benedictis & Gianluca Santoni, 2012. "On the Pro-Trade Effects of Immigrants," Development Working Papers 347, Centro Studi Luca d\'Agliano, University of Milano, revised 13 Nov 2012.
  5. Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
  6. Anthony Briant & Pierre-Philippe Combes & Miren Lafourcade, 2009. "Product complexity, quality of institutions and the pro-trade effect of immigrants," PSE Working Papers halshs-00566772, HAL.
  7. Carlos A. Flores, 2007. "Estimation of Dose-Response Functions and Optimal Doses with a Continuous Treatment," Working Papers 0707, University of Miami, Department of Economics.
  8. James E. Anderson & Eric van Wincoop, 2001. "Gravity with Gravitas: A Solution to the Border Puzzle," NBER Working Papers 8079, National Bureau of Economic Research, Inc.
  9. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
  10. Feenstra, Robert C, 2002. "Border Effects and the Gravity Equation: Consistent Methods for Estimation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 49(5), pages 491-506, December.
  11. James A. Dunlevy, 2006. "The Influence of Corruption and Language on the Protrade Effect of Immigrants: Evidence from the American States," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 182-186, February.
  12. Peter Egger & Maximilian Von Ehrlich & Douglas R. Nelson, 2011. "Migration and Trade," CESifo Working Paper Series 3467, CESifo Group Munich.
  13. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, 04.
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