We consider a new dataset that provides a description of the population of financial equity flows between developed countries from 2001 to 2018. We follow the standard practice of controlling for pull and push factors as well as gravity-style variables, while also accounting for the business...

We analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border...

We analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border...

We consider a new dataset that provides a description of the population of financial equity flows between developed countries from 2001 to 2018. We follow the standard practice of controlling for pull and push factors as well as gravity-style variables, while also accounting for the business...

We consider a new dataset that provides a description of the population of financial equity flows between developed countries from 2001 to 2018. We follow the standard practice of controlling for pull and push factors as well as gravity-style variables, while also accounting for the business...

We analyze the migration drivers within the European Union countries. For a set of 23 EU countries over the 1995-2019 period, we use Bayesian Model Averaging and quantile regression to assess notably the relevance of unemployment and earnings. We find that the existence of a common border...

In this article, we analyse the drivers of international migration in the European Union (EU) using data from 23 EU countries in Bayesian model averaging and quantile regression. Our findings reveal that the association between differences in earnings and migration is twice as strong as that of...