90 research outputs found
Old Wine in New Bottles: The Effect of Previous Co-Worker Experience on the Survival of New Firms
The aim of the paper is to investigate the effect of previous co-worker experience on the survival of new established firms. For the empirical analysis I use the Danish Integrated Database of Labor Market Research (IDA). This longitudinal employer-employee database allows me to identify co-worker experience among all members of the firm. In addition, I will make a distinction between ordinary start-ups and entrepreneurial spin-offs. The results show that previous co-worker experience has a positive effect on new firm survival. This effect appears to be valid predominantly for ordinary start-ups then for spin-offs.
The Danish Integrated Database for Labor Market Research: Towards Demystification for the English Speaking Audience
An increasing number of studies, in a wide range of disciplines, make use of so-called linked employer-employee databases. These detailed databases are only available in a limited number of countries. Denmark is one of the countries that makes this data available to researchers that are connected to a Danish research institute. Due to the sensitivity of the data, access is only granted after a thorough screening process and under strict conditions. Nevertheless, there is an international interest in the structure of this database and what information it provides. The purpose of this document is to provide such an description in English.
Beyond Technological Diversification: The Impact of Employee Diversity on Innovation
This paper investigates the effect of employee diversity in terms of gender, age, ethnicity and education on the firm’s likelihood of introducing an innovation. The analysis draws on data from a recent innovation survey. This data is merged with a linked employer-employee dataset that allow us to identify the employee composition of each firm. We test the hypothesis that employee diversity is associated with better innovative performance. The econometric analysis reveals positive, negative and non-significant effects of the different employee characteristics on the likelihood of introducing an innovation.Diversity, Innovation, Education, Gender, Cultural Backgrund
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