Tommaso Colussi

Research Fellow

Catholic University Milan

Tommaso Colussi is Assistant Professor of Economics at Università Cattolica in Milan. After receiving his Ph.D. in Economics from Queen Mary University of London in 2014, he worked at IZA as Research Associate.

His research interests are in labor economics and political economy. His current research focuses on the determinants of attitudes towards minorities and political extremism. He is also interested in how social connections affect the outcomes of selection processes, such as job search and hiring decisions.

Tommaso joined IZA as a Research Fellow in October 2017.



IZA Discussion Paper No. 10418

This work analyzes the extent to which local social networks affect workers' labor market outcomes and firms' economic performance. By exploiting variations in firms' ownership generated by takeovers, we find that belonging to the same community of origin as the new employer significantly increases an employee's job retention probability. Finally,...

IZA Discussion Paper No. 10417

This paper studies electoral effects of exposure to religious minorities in the context of Muslim communities in Germany. Using unique data on mosques' construction and election results across municipalities over the period 1980-2013, we find that the presence of a mosque increases political extremism. To establish causality, we exploit arguably...

IZA Discussion Paper No. 9414

This paper employs a unique dataset on articles, authors and editors of the top general interest journals in economics to investigate the role of social connections in the publication process. Ties between editors and authors are identified based on their academic histories. Results show that an editor's former PhD students...

IZA Discussion Paper No. 9339

This paper investigates how immigrants' job search outcomes are affected by the labor market outcomes of workers from the same country of origin they are connected to. Connections are identified based on having worked for the same firm in the past. Using matched employer-employee micro data from Italy and an...