This paper examines whether a greater concentration of foreigners increases the likelihood of unemployment in local labor markets among citizens of the European Community. It provides the results of probit equations estimating the likelihood of employment in Europe as a function of a set of...

This paper investigates the effects of immigration on the wages of native workers in Germany. The analysis differentiates native and foreign workers according to their occupational status. The estimation of a translog production using 1990 cross section data reveals mixed results regarding the...

Migration networks are usually captured by the number of people from the migrant's country in the host region. Using Mexican migration data, we analyze the effects of the usual network variable and two additional origin-village-specific variables on migrants' location choice.

Immigrants to the United States tend to have characteristics in common with native-born populations that are disproportionately incarcerated. The perception that immigration adversely affects crime rates led to legislation in the 1990s that particularly increased punishment of criminal aliens....

This paper addresses the question: Why and where do immigrants cluster? We examine the relative importance and interaction of two alternative explanations of immigrant clustering: (1) network externalities and (2) herd behavior. We advance the theory by presenting a framework encompassing both...

Research on crime in the late 20th century has consistently shown, that despite the public rhetoric, immigrants have lower rates of involvement in criminal activity than natives. The earliest studies of immigration and crime conducted at the beginning of the 20th century produced similar...

Women who want to work often face many more hurdles than men. This is true in Tajikistan where there is a large gender gap in labour force participation. We highlight the role of two factors – international migration and education – on the labour force participation decision and its gender...