Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: http://hdl.handle.net/10419/93962
Autoren: 
Weber, Richard
von Graevenitz, Georg
Harhoff, Dietmar
Datum: 
2009
Schriftenreihe/Nr.: 
SFB/TR 15 Discussion Paper No. 269
Zusammenfassung: 
Entrepreneurship education ranks highly on policy agendas in Europe and the US, but little research is available to assess its impacts. In this context it is of primary importance to understand whether entrepreneurship education raises intentions to be entrepreneurial generally or whether it helps students determine how well suited they are for entrepreneurship. We develop a theoretical model of Bayesian learning in which entrepreneurship education generates signals which help students to evaluate their own aptitude for entrepreneurial tasks. We derive predictions from the model and test them using data from a compulsory entrepreneurship course at a German university. Using survey responses from 189 students ex ante and ex post, we ?nd that entrepreneurial propensity declined somewhat in spite of generally good evaluations of the class. Our tests of Bayesian updating provide support for the notion that students receive valuable signals and learn about their own type in the entrepreneurship course.
Schlagwörter: 
entrepreneurship
entrepreneurship education
Bayes' Rule
learning
signals
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
330.13 kB





Publikationen in EconStor sind urheberrechtlich geschützt.