engleski

A revisit to the determinants of immigration in the European Union: evidence from count panel data models

Europe’s history has been shaped by migration. The most recent migration surge has led to an increase in the immigrant share of population in many nations, which is, combined with societies’ aging, changing the population structure of Europe. The aim of this paper is to re-examine the common determinants of immigration in 28 member states of the European Union. The examined pull factors consist of three categories: economic, demographic/social and political/institutional variables. Given the cross-sectional and time dimensions of the data, we employ a panel data model for annual data from the period 1995-2016. Dependent variable, immigration inflow, makes an example of a count variable that can take on non- negative integer values. Since data followed a Poisson distribution, a negative binomial regression panel model was used. This model is a more general Poisson regression model that allows for overdispersion, making it appropriate for the modelling of flows of international migration.

count data ; immigration ; negative binomial regression ; panel model

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