Publicação
Using the gravity equation to explain the portuguese immigration-trade link
| Resumo: | This paper tests the relation between immigration and Portuguese bilateral trade. Using a panel data analysis, the results show that the stock of immigrants has a positive effect on Portuguese exports, imports and bilateral intra-industry trade. The underlying assumption is that immigration contributes to decrease the costs of transactions, which in turn promotes trade flows. The results do not confirm the hypothesis of a negative effect of immigration on Portuguese exports. Our findings suggest that when immigrants to Portugal come from a Latin partner-country, the effects on trade are stronger than in the case of immigrants from non-Latin countries. The study is based on an extended gravitational model, in order to incorporate the qualitative factors as control variables. |
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| Autores principais: | Faustino, Horácio C. |
| Outros Autores: | Leitão, Nuno Carlos |
| Assunto: | Intra-Industry Trade Immigration Gravity Model Panel Data |
| Ano: | 2008 |
| País: | Portugal |
| Tipo de documento: | working paper |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | This paper tests the relation between immigration and Portuguese bilateral trade. Using a panel data analysis, the results show that the stock of immigrants has a positive effect on Portuguese exports, imports and bilateral intra-industry trade. The underlying assumption is that immigration contributes to decrease the costs of transactions, which in turn promotes trade flows. The results do not confirm the hypothesis of a negative effect of immigration on Portuguese exports. Our findings suggest that when immigrants to Portugal come from a Latin partner-country, the effects on trade are stronger than in the case of immigrants from non-Latin countries. The study is based on an extended gravitational model, in order to incorporate the qualitative factors as control variables. |
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