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Germany experienced a unique rise in the level of self-employment in the first two decades following unification. Applying the nonlinear Blinder-Oaxaca decomposition technique, we find that the main factors driving these changes in the overall level of self-employment are demographic developments, the shift towards service sector employment and a larger share of population holding a tertiary degree. While these factors explain most of the development in self-employment with employees and the overall level of self-employment in West Germany, their explanatory power is much lower for the stronger increase in solo self-employment and in self-employment in former socialist East Germany.
Based on large representative German household survey data, we compare incomes of the self-employed with those of paid employees. We find that the entrepreneurial income gap is largest for those holding a tertiary degree, but in two directions: positive for employers (self-employed with further employees) and negative for solo entrepreneurs. Entrepreneurs holding a tertiary degree also face the greatest income variation. However, some solo self-employed earn more than their employed counterparts, in particular those with a university entrance degree as the highest level of education.
We investigate whether people are more willing to become self-employed during boom periods or during recessions and to what extent business cycles and unemployment levels influence entries into entrepreneurship. Our analysis for Germany reveals that there is a positive relationship between unemployment rates and start-up activities. Moreover, new business formation is higher during recessions than in boom periods, implying that it is counter-cyclical. When disentangling periods of low and high unemployment we find that the effect of unemployment on new business formation is only statistically significant if the level of unemployment is below the trend, indicating a "low unemployment retain effect".
We analyze whether start-up rates in different industries systematically change with business cycle variables. Using a unique data set at the industry level, we mostly find correlations that are consistent with counter-cyclical influences of the business cycle on entries in both innovative and non-innovative industries. Entries into the large-scale industries, including the innovative part of manufacturing, are only influenced by changes in the cyclical component of unemployment, while entries into small-scale industries, like knowledge intensive services, are mostly influenced by changes in the cyclical component of GDP. Thus, our analysis suggests that favorable conditions in terms of high GDP might not be germane for start-ups. Given that both innovative and non-innovative businesses react counter-cyclically in ‘regular’ recessions, business formation may have a stabilizing effect on the economy.