Publication: The value of publicly available, textual and non-textual information for startup performance prediction
The value of publicly available, textual and non-textual information for startup performance prediction
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Kaiser, U., & Kuhn, J. M. (2020). The value of publicly available, textual and non-textual information for startup performance prediction. Journal of Business Venturing Insights, 14, e00179. https://doi.org/10.1016/j.jbvi.2020.e00179
Abstract
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We use administrative textual and non-textual data retrieved from publicly available archives to predict the performance of Danish startups at the time of foundation. The performance outcomes we consider are survival, high employment growth, a return on assets of above 20 percent, new patent applications and participation in an innovation subsidy program. We consider a base specification that includes variables for legal form, region, ownership and industry in all specifications and add variable sets representing firm names, business
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- Kaiser, Ulrich
- Kuhn, Johan M
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Kaiser, U., & Kuhn, J. M. (2020). The value of publicly available, textual and non-textual information for startup performance prediction. Journal of Business Venturing Insights, 14, e00179. https://doi.org/10.1016/j.jbvi.2020.e00179
