This paper examines empirically the interaction between immigration and host country economic conditions. We employ panel VAR techniques to use a large annual dataset on 22 OECD countries over the period 1987-2009. The VAR approach allows to addresses the endogeneity problem by allowing the...

We explore whether finance influences the impact of labour market institutions on unemployment. Using a data set of 18 OECD countries over 1980-2004, we estimate a panel VectorAutoRegressive model. We check whether causalities from labour market variables to unemployment are affected by...

We study sovereign bond yields in OECD countries with a dynamic panel by checking for cross-section dependence; assessing panel cointegration; and estimating panel error-correction models. The results show that markets consider budgetary and external imbalances and inflation as relevant...

We explore whether finance influences the impact of labour market institutions on unemployment. Using a data set of 18 OECD countries over 1980-2004, we estimate a panel VectorAutoRegressive model. We check whether causalities from labour market variables to unemployment are affected by...

This paper examines the causality relationship between immigration, unemployment and economic growth of the host country. We employ the bootstrap panel Granger causality testing approach of Kónya (2006) that allows to test for causality on each individual country separably by accounting for...

This paper examines empirically the interaction between immigration and host country economic conditions. We employ panel VAR techniques to use a large annual dataset on 22 OECD countries over the period 1987-2009. The VAR approach allows to addresses the endogeneity problem by allowing the...

This paper examines empirically the interaction between immigration and host country economic conditions. We employ panel VAR techniques to use a large annual dataset on 22 OECD countries over the period 1987-2009. The VAR approach allows to addresses the endogeneity problem by allowing the...