Abstract:
In this study we investigate the link between the job search channels used to find employment and the probability of occupational mismatch. Our specific focus is on differences between natives and immigrants. We use data from the German Socio-Economic Panel (SOEP, 2000–2014). First, we document that referral hiring is the most frequent single channel of generating jobs in Germany; in relative terms referrals are used more frequently by immigrant workers compared to natives. Second, referral hiring is associated with the highest rate of occupational mismatch among all channels in Germany. We combine these findings and use them to develop a search and matching model with two ethnic groups, two search channels and two occupations. Our model predicts that higher rates of referral hiring produce more frequent occupational mismatch of the immigrant population compared to natives. This prediction and the underlying mechanism of the model are confirmed by the data.
Description:
The American University of Armenia (AUA) Manoogian Simone College of Business and Economics (CBE) Assistant Professor Dr. Sevak Alaverdyan, jointly with Dr. Anna Zaharieva, chair of Labour Economics, Bielefeld University, Germany, published a study titled “Immigration, Social Networks, and Occupational Mismatch’’ in Economic Modelling (Volume 114, September 2022). https://doi.org/10.1016/j.econmod.2022.105936