Using a linked employer-employee data set for Germany, this paper analyses wage setting in a cohort of newly founded and other establishments from 1997 to 2001. While theory provides alternative explanations for higher or lower wages in newly founded firms, we show empirically that start-ups...

Using a linked employer-employee dataset and taking the perspective of individuals rather than firms, this paper analyzes some effects of joining start-ups. We show that entrants in new firms differ from those joining incumbent firms, and we use a matching approach to compare a group of...

Using a linked employer-employee data set for Germany, this paper analyses wage setting in a cohort of newly founded and other establishments from 1997 to 2001. While theory provides alternative explanations for higher or lower wages in newly founded firms, we show empirically that start-ups...

Using a linked employer-employee data set for Germany, this paper analyzes labour fluctuation and wage setting in a cohort of newly founded and other establishments from 1997 to 2001. We show empirically that start-ups tend to have higher labour turnover rates, ceteris paribus. Moreover,...

Using a linked employer-employee dataset and taking the perspective of individuals rather than firms, this paper analyzes some effects of joining start-ups. We show that entrants in new firms differ from those joining incumbent firms, and we use a matching approach to compare a group of...

Using a linked employer-employee data set for Germany, this paper analyzes labour fluctuation and wage setting in a cohort of newly founded and other establishments from 1997 to 2001. We show empirically that start-ups tend to have higher labour turnover rates, ceteris paribus. Moreover,...

Die Arbeit analysiert unter Verwendung eines verbundenen Arbeitgeber-Arbeitnehmer-Datensatzes einige Auswirkungen des Eintritts in Neugründungen, wobei die Sicht von Individuen statt von Firmen eingenommen wird. Wir zeigen, dass Personen, die in neue Firmen eintreten, sich von Eintretenden in...