Migration and Trade: A Complex-Network Approach

Fagiolo, Giorgio; Mastrorillo, Marina

doi:10.2139/ssrn.2329837

Cited by 2 publications

(2 citation statements)

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“…From an international finance perspective, country connectedness and centrality in financial networks have been used to predict the performance of countries during recessions and business cycle downturns (Chinazzi et al, 2013;Hale, 2012;Minoiu et al, 2013). Finally, Fagiolo & Mastrorillo (2013b) show that country centrality in the international-migration network can explain bilateral trade flows.…”

Section: Literature Reviewmentioning

confidence: 99%

Human-mobility networks, country income, and labor productivity

Fagiolo

Santoni

2015

Net Sci

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in March 2014Abstract This paper asks whether the level of integration of world countries in the international network of temporary human mobility can explain differences in their per-capita income and labor productivity. We disentangle the role played by global country centrality in the network from traditional openness measures, which only account for local, nearestneighbor linkages through which ideas and knowledge can flow. Using 1995-2010 data, we show that global country centrality in the temporary human-mobility network enhances both per-capita income and labor productivity. Our results hold cross-sectionally, as well as in a dynamic-panel estimation, and take into account potential endogeneity issues. Our findings imply that how close a country is to the theoretical technological frontier, depends not only on how much she is open to temporary human mobility, but mostly on whether she is embedded in a web of relationships connecting her with other influential partners in the network. Our exercises also suggest that most of the gain in income and productivity can be attained if country centrality in the network comes mostly from influential partners that lie not too far away from, but neither too close to them in the network.

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Section: Literature Reviewmentioning

confidence: 99%

Human-mobility networks, country income, and labor productivity

Fagiolo

Santoni

2015

Net Sci

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“…From an international finance perspective, country connectedness and centrality in financial networks have been used to predict the performance of countries during recessions and business cycle downturns (Chinazzi et al, 2013, Hale, 2012, Minoiu et al, 2013. Finally, Fagiolo and Mastrorillo (2013b) show that country centrality in the international-migration network can explain bilateral trade flows.…”

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confidence: 99%

Human-Mobility Networks, Country Income, and Labor Productivity

Fagiolo

Santoni²

2014

SSRN Journal

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This paper asks whether the level of integration of world countries in the international network of temporary human mobility can explain differences in their per-capita income and labor productivity. We disentangle the role played by global country centrality in the network from traditional openness measures, which only account for local, nearestneighbor linkages through which ideas and knowledge can flow. Using 1995-2010 data, we show that global country centrality in the temporary human-mobility network enhances both per-capita income and labor productivity. Our results hold cross-sectionally, as well as in a dynamic-panel estimation, and take into account potential endogeneity issues. Our findings imply that how close a country is to the theoretical technological frontier, depends not only on how much she is open to temporary human mobility, but mostly on whether she is embedded in a web of relationships connecting her with other influential partners in the network. Our exercises also suggest that most of the gain in income and productivity can be attained if country centrality in the network comes mostly from influential partners that lie not too far away from, but neither too close to them in the network.

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Migration and Trade: A Complex-Network Approach

Cited by 2 publications

References 37 publications

Human-mobility networks, country income, and labor productivity

Human-mobility networks, country income, and labor productivity

Human-Mobility Networks, Country Income, and Labor Productivity

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