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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

Virtual Project Virtual Project

EDT

Location:

Online

Type:

Other

Virtual Project Virtual Project

Speakers

Speaker Image
James Fenske

Professor

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

Nur Batrisya Fathima

Eric Decker

Guylaine Nouwoue

Arjo Shrestho

Alexandros Kordas

Akanksha Soni

Becky zhu

Aishwarya Atluri

Oliver Hanney

Adam Nowakowski

Md. Al-Hasan

Shizhuo Wang

jiawei wu

giuseppe simone

SRINJAY CHANDRASEKAR

Nicholas Lacourse

Santiago José Gahn

Dheeraj Tulsani

YANGFEI LIN

Ana Peixoto

Karmini Sharma

Mandem Jim

anjali sharma

Ibshar Khan

Rooe Top

Shirooa Purna

Kanak Chanpa

Khaleda Yemin

annesha muzib

Tafsia Muzib

Larissa Simões

Amitoj Singh

xinran liu

Sazeda Akter

Eshrat Sharmin

Achmad Kautsar

Minh Tam Bui

Valentina San Martino

Md Jahurul Islam

Mariana Ramírez

Marcelo Gantier Mita

Kavitha Srikanth

Khushboo Bhanushali

Elvis Avenyo

Ezebuilo Ukwueze

Ajwad Hossain

farhad gohardani

Avinno Faruk

Luisa Scarcella

Joana Vaccarezza

Judith Derndorfer

Mayuri Chaturvedi

umesh moramudali

Ajibola Akanji

Ruchira Bhattacharya

Md Labib Sadbin Hasan

Jheelum Sarkar

Sophie Eales-White

Cicero Braga

Michael Cosh

Camila Alvarenga

Henry Faulkner-Ellis

Anisha Sawhney

YANHUI WANG

通 方

srikanth velijala

Soyra Gune

TANISHA GHOSAL

Alice LIN

Bijun Qin

Anika Muzib Suchi

Tarik Imamović

GEORGE SICHINGA

Jay Pocklington

Giuliano Toshiro Yajima

Farjana Tonny

supraja parthasarathy

Sawsan Abdul-Jalil

Marta Musso