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Using unique register data for Sweden we match self-employed persons to their employees. The purpose of the paper is to investigate which factors that influence the composition of the workforce in terms of national background. To analyse workforce composition we estimate the probability of only employing co-nationals in the firm. A majority of the self-employed do not have employees so the used sample constitutes a small share of all self-employed. To account for the selection in the choice of having employees we estimate a selection model of Heckman type.

We find that a higher share of immigrants in the municipality increases the probability of hiring immigrants, both for native and immigrant self-employed. We also find that the probability for immigrants to only employ co-nationals decreases with time spent in Sweden. These results point to that the proximity to people from the same region and one's network plays an important part for the employment decisions for the self-employed.

In many countries today, immigrants and other distinct ethnic minorities experience high unemployment, low employment rates, lower education levels, and lesser earnings in comparison to natives. While differences in the labor market attachment and performance of immigrants can be partially explained by human capital, time spent in the host country, nationality or country of origin, and other demographics, there is still a native–immigrant gap that remains to be explained. Studying ethnic identity is not a trivial task. Complex issues of identification and measurement can surface along the way.