TY  - JOUR
A1  - Orland, Andreas
A1  - Padubrin, Max
T1  - Is there a gender hiring gap in academic economics? Evidence from a network analysis
JF  - Royal Society Open Science
N2  - We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.
Y1  - 2022
U6  - https://doi.org/10.1098/rsos.210717
SN  - 2054-5703
VL  - 9
SP  - 1
EP  - 9
PB  - Royal Society of London
CY  - London
ET  - 2
ER  - 
TY  - GEN
A1  - Orland, Andreas
A1  - Padubrin, Max
T1  - Is there a gender hiring gap in academic economics? Evidence from a network analysis
T2  - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe
N2  - We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.
T3  - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 150 
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-558844
SN  - 1867-5808
VL  - 9
SP  - 1
EP  - 9
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ET  - 2
ER  - 
TY  - JOUR
A1  - Orland, Andreas
A1  - Padubrin, Max
T1  - Is there a gender hiring gap in academic economics?
BT  - evidence from a network analysis
JF  - Royal Society Open Science
N2  - We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.
KW  - gender
KW  - networks
KW  - academia
Y1  - 2022
U6  - https://doi.org/10.1098/rsos.210717
SN  - 2054-5703
VL  - 9
IS  - 2
PB  - Royal Society
CY  - London
ER  -