Abstract
The dissertation studies the determinants of self-employment entry through an economics of entrepreneurship lens, and examines two sources of data: 7 years of employer--employee matched panel data and a laboratory experiment. The results suggest that employees are more likely to take the leap to self-employment when they have their own business idea, and are employed in occupations with high wage variance.
These findings, based on randomized experiments, multilevel analysis, data mining, and model building, contribute to research on occupational choice, entrepreneurial decision making, and the mobility process into self-employment.
These findings, based on randomized experiments, multilevel analysis, data mining, and model building, contribute to research on occupational choice, entrepreneurial decision making, and the mobility process into self-employment.
Original language | English |
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Qualification | Doctor |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 2014 Sept 22 |
Publisher | |
ISBN (Print) | 978-91-7473-921-3 |
Publication status | Published - 2014 |
Bibliographical note
Defence detailsDate: 2014-09-22
Time: 13:15
Place: EC1:Crafoordsalen, Holger Crafoords Ekonomicentrum
External reviewer(s)
Name: Van Praag, Mirjam
Title: Prof. Dr.
Affiliation: Copenhagen Business School
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Subject classification (UKÄ)
- Business Administration
Free keywords
- self-employment entry
- occupational choice
- idea creation
- occupation
- laboratory experiment
- panel data
- survival analysis
- data mining
- model
- entrepreneurship