THE CHARACTERISTICS OF MIGRATION DIFFERENCES IN THE CASE OF OECD COUNTRIES

Despite physical, cultural, economic and other obstacles, millions of people have recently emigrated from one country to another in search of a better. Analysis of this regional approach is based on the representative OECD censuses, which makes it possible to generate a wide variety of cross-tabulations on the characteristics of asylum-seekers. Regional immigration is affected by the demographic changes between the country of origin and country of destination. The regional differences divided into two main categories. The first one represents the region of birth (Africa, Asia, North America, South and Central America and Oceania) and the second one introduced the country of birth (OECD and non-OECD member countries). The empirical tests intended to explore regional differences that were affected by migration characteristics. For instance, educational level, age, gender, nativity and employment and unemployment (labour force) status differences examined. This dissertation intended to demonstrate the migration differences and their interactions by using specific statistical methods (cross tabs, independent-sample tests, binary and multinomial regressions). The empirical research supports novel findings and proposals of the current dissertation by a deductive theoretical model as follows: The scientific contribution of the research is the comparison of international immigration characteristics, i.e., regional, educational, age, sex, nativity status and labour force status differences between OECD and non-OECD countries. The novelty of this study is that no previous research has empirically tested the immigration differences using international comparison and such complex socio-economic perspectives on a representative database. Another scientific contribution is the different statistical methods (cross tabs, independents sample tests and different regression analysis) that were used to validate and emphasize international immigration differences, which were not demonstrated before. The additional scientific contribution of the research is that two different census data, namely DIOC 2010/11 and DIOC 2015/16, were compared and they demonstrated many estimated differences. This comparison displays that immigration characteristics can change in different censuses and periods