
- This project has passed.
Attribution Bias by Gender: Evidence from a Laboratory Experiment
YSI Webinar with Professor James Fenske
Start time:
May 18, 2020 @ 4:00 pm - 5:30 pm
EDT
Location:
Online
Type:
Other

Speakers

James Fenske
Professor
YSI Presenters
Description
It is well understood that achieving gender parity matters for economic development. However, despite substantial progress in recent decades, gender inequality in the areas of well-being, rights, opportunities, and economic and political empowerment persists in many developing countries. A vast literature shows that discrimination leads to differences in men and women’s labour market outcomes at several stages, including screening, hiring, and promotion. A key mechanism that explains the differences in economic outcomes of men and women is that of attribution bias. Attribution bias by gender is understood as the tendency of observers to attribute good performance of males to skill and females to luck in certain tasks and vice versa. For example, physicians increase their referrals more to a male surgeon than to a female surgeon after a good patient outcome but lower their referrals more to a female surgeon than a male surgeon after a bad outcome. Such attribution bias has also been shown to be present among teachers who attribute boys' successes in mathematics to ability and girls' successes to effort.
In order to get a deeper understanding of the underlying mechanism that explains gender gap, the Economic Development WG is launching a webinar on one of the topical areas of research – gender. In this meeting, we will host Professor James Fenske who will discuss his recent paper on attribution bias by gender. The study presents evidence from a laboratory experiment by testing for the presence of attribution bias by gender through a principal-agent approach. It sheds light on whether a person’s gender has an effect on the way we interpret information about his or her ability. A lab experiment provides a controlled setting in which other factors are unlikely to influence participants’ behaviour.
Professor James Fenske is currently affiliated with the Department of Economics at the University of Warwick and is also a Research Associate at the Centre for Competitive Advantage in the Global Economy (CAGE). Previously, he held position as an Associate Professor at the University of Oxford. He has vast expertise in Economic History and Development Economics and is the recipient of several awards, including the Philip Leverhulme Prize in Economics.
Paper: Fenske, J., Castagnetti, A., & Sharma, K. (2020). Attribution Bias by Gender: Evidence from a Laboratory Experiment (No. 452). Competitive Advantage in the Global Economy (CAGE).
Link to the paper: https://warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/452-2020_fenske.pdf
Hosted by Working Group(s):
Organizers
Attendees
Mandem Jim
Anika Muzib Suchi
Michael Cosh
Cicero Braga
Sophie Eales-White
Jheelum Sarkar
Md Labib Sadbin Hasan
Ruchira Bhattacharya
Ajibola Akanji
umesh moramudali
Mayuri Chaturvedi
Marcelo Gantier Mita
Joana Vaccarezza
Luisa Scarcella
Avinno Faruk
farhad gohardani
Ajwad Hossain
Ezebuilo Ukwueze
Elvis Avenyo
Khushboo Bhanushali
Kavitha Srikanth
Judith Derndorfer
Marta Musso
Sawsan Abdul-Jalil
supraja parthasarathy
Farjana Tonny
Giuliano Toshiro Yajima
Jay Pocklington
GEORGE SICHINGA
Tarik Imamović
Camila Alvarenga
Bijun Qin
Alice LIN
TANISHA GHOSAL
Soyra Gune
srikanth velijala
通 方
YANHUI WANG
Anisha Sawhney
Henry Faulkner-Ellis
Larissa Simões
Ana Peixoto
YANGFEI LIN
Dheeraj Tulsani
Santiago José Gahn
Nicholas Lacourse
SRINJAY CHANDRASEKAR
giuseppe simone
jiawei wu
Shizhuo Wang
Nur Batrisya Fathima
Adam Nowakowski
Oliver Hanney
Aishwarya Atluri
Becky zhu
Akanksha Soni
Alexandros Kordas
Arjo Shrestho
Guylaine Nouwoue
Eric Decker
Md. Al-Hasan
Mariana RamÃrez
Md Jahurul Islam
Valentina San Martino
Minh Tam Bui
Achmad Kautsar
Eshrat Sharmin
Sazeda Akter
xinran liu
Amitoj Singh
Karmini Sharma
Tafsia Muzib
annesha muzib
Khaleda Yemin
Kanak Chanpa
Shirooa Purna
Ibshar Khan
anjali sharma