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Abstract

This article examines the pro-trade influence of immigrants using data on state-level exports from the 48 contiguous USA to 28 countries during the year 1993. Immigrants from lesser developed countries are found to exert stronger proportional effects on state-level exports relative to the immigrants from more developed countries. Calculation of absolute immigrant effects at state, regional and national levels also reveal influences of immigrants from developing countries are of greater magnitude; however, results depend on the metric employed to categorize countries as developing or developed. The findings emphasize the importance of immigrants’ connections to business and social networks and allow for an improved understanding of the role that information asymmetries play in fomenting opportunities for immigrants to enhance trade.

Résumé

Nous examinons l’influence pro-commerce des immigrés en utilisant des données sur les exports au niveau national des 48 états contigus des États-Unis, à 28 pays pendant l’année 1993. On trouve que les immigrés des pays moins développés exercent de plus forts effets proportionnels sur les exports au niveau national par rapport aux immigrés des pays plus développés. Le calcul des effets-immigrés absolus au niveau de l’état, de la région, et de la nation révèlent aussi que les influences des immigrés des pays en voie de développement sont d’une plus grande ampleur; les résultats dépendent pourtant de la métrique employée pour caractériser les pays comme en voie de développement ou développés. Les conclusions soulignent l’importance des liens des immigrés aux réseaux commerciaux et sociaux et permettent une compréhension améliorée du rôle joué par des assymétries de renseignment dans la création des occasions pour l’augmentation du commerce par les immigrés.

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Notes

  1. Appendix A lists the 28 countries included in the data set. Collectively, these countries accounted for 67.4% of US exports in 1993 (Feenstra, 1997) and were home countries for 60.2% of the 1990 US foreign-born population (US Bureau of the Census 1993).

  2. The effect of immigrants on net exports, while an interesting issue that is particularly important for public policy, cannot be examined as import data is not available at the state level. Studies examining the immigrant–trade link using aggregate trade data, however, provide mixed results as to whether immigrants’ influences generate increases or decreases in net exports.

  3. See Anderson and Van Wincoop (2003), Eaton and Kortum (2002), Feenstra et al. (2001), Deardorff (1998), Davis (1995), Bergstrand (1985), Helpman and Krugman (1985), and Anderson (1979) for theoretical foundations.

  4. Appendix B lists data sources and discusses corresponding variable construction.

  5. An F test, comparing adjusted R-squared values, indicates that in all cases estimation of Eq. 2 explains a significantly larger share of the variation in exports than does estimation of Eq. 1.

  6. Results from estimation of ancillary regression specifications, where only the immigrant stock variable is lagged, correspond to the conclusions presented in “Estimation Results”. All estimation results and data are available upon request.

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Correspondence to Roger White.

Appendices

Appendix A: Country Listing/Development Classifications

Canadaa,b,c, Chinaf, Colombiae, Dominican Republice, Ecuadore, El Salvadore, Francea,b,c, Germanya,b,c, Greecea,b,d, Guatemalae, Guyanaf, Hondurasf, Hong Kongb,c, Indiaf, Irelanda,b,c, Italya,b,c, Jamaicae, Japana,b,c, Mexicod, Nicaraguae, Panamae, Perue, Philippinesf, Portugala,b,d, South Koreab,d, Thailande, Trinidad and Tobagod, United Kingdoma,b,c.

a OECD members; b High HDI countries; c High-Income countries; d Upper Middle Income countries; e Lower Middle Income countries; f Low-Income countries.

Appendix B: Data Sources

State-level export data are from Feenstra (1997). Immigrant stock values are from the US Bureau of the Census (1993). Gross state product data are from the US Bureau of Economic Analysis (www.bea.doc.gov). Home country populations and GDP and trade values, used to construct the openness variable, are from the World Bank (2003). The infrastructure proxy variable and gross national income per capita, used to classify countries as high, upper middle, lower middle and low income, are from the World Bank (2003). State population values are from the US Bureau of the Census (1996). Distance between state and home country capitols are calculated by the author using the Great Circle method. OECD membership is from the OECD (www.oecd.org). Human Development Index classifications are from the United Nations Development Programme (2004). Adjacency is a dummy variable equal to one if the home country is Mexico or Canada; zero otherwise. Border-North and Border-South equal one if the host state borders Canada or Mexico, respectively; zero otherwise. Similarly, Coastal-West and Coastal East equal one if the host state borders the Pacific Ocean or either the Gulf of Mexico or Atlantic Ocean, respectively; zero otherwise.

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White, R. Immigration, Trade and Home Country Development: State-Level Variation in the US Immigrant–Export Link. Int. Migration & Integration 10, 121–143 (2009). https://doi.org/10.1007/s12134-009-0096-x

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