Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts

Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, June 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 147-164). === This dissertation contributes to our understanding of when and how gender is incorporated into the eval...

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Main Author: Abraham, Mabel Lana Botelho
Other Authors: Roberto Fernandez.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/98608
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-986082019-05-02T16:31:40Z Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts Abraham, Mabel Lana Botelho Roberto Fernandez. Sloan School of Management. Sloan School of Management. Sloan School of Management. Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, June 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 147-164). This dissertation contributes to our understanding of when and how gender is incorporated into the evaluation of individuals, leading to unequal outcomes for similar men and women. Prior research has shown that because ascriptive characteristics, such as gender, are associated with widely-held performance expectations, evaluators often rely on gender as an indicator of quality, particularly when quality is uncertain or indeterminate. Whereas existing research has importantly documented that gender differences in evaluation outcomes exist, this dissertation shifts the focus to uncovering the conditions under which this is the case as well as the underlying mechanisms driving these observed gender differences. Specifically, the three papers in this dissertation contribute to our understanding of the evaluative mechanisms perpetuating gender inequality by answering the following overarching research question: Under what conditions and how do evaluation processes lead to different outcomes for comparable men and women, particularly when more relevant indicators of quality are available to evaluators? I draw on data from three distinct empirical contexts to examine when and how evaluations of similar men and women vary within social networks, a financial market setting, and an organization. I pay particular attention to the often levied criticism of gender inequality research, namely failure to adequately account for underlying quality or performance differences. I show that the gender of the evaluatee, or the individual being evaluated, plays a role beyond serving as a proxy for missing quality information and that male and female evaluators incorporate gender differently under certain conditions. by Mabel Lana Botelho Abraham. Ph. D. 2015-09-17T18:59:22Z 2015-09-17T18:59:22Z 2014 2015 Thesis http://hdl.handle.net/1721.1/98608 920472293 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 164 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Sloan School of Management.
spellingShingle Sloan School of Management.
Abraham, Mabel Lana Botelho
Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
description Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, June 2015. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 147-164). === This dissertation contributes to our understanding of when and how gender is incorporated into the evaluation of individuals, leading to unequal outcomes for similar men and women. Prior research has shown that because ascriptive characteristics, such as gender, are associated with widely-held performance expectations, evaluators often rely on gender as an indicator of quality, particularly when quality is uncertain or indeterminate. Whereas existing research has importantly documented that gender differences in evaluation outcomes exist, this dissertation shifts the focus to uncovering the conditions under which this is the case as well as the underlying mechanisms driving these observed gender differences. Specifically, the three papers in this dissertation contribute to our understanding of the evaluative mechanisms perpetuating gender inequality by answering the following overarching research question: Under what conditions and how do evaluation processes lead to different outcomes for comparable men and women, particularly when more relevant indicators of quality are available to evaluators? I draw on data from three distinct empirical contexts to examine when and how evaluations of similar men and women vary within social networks, a financial market setting, and an organization. I pay particular attention to the often levied criticism of gender inequality research, namely failure to adequately account for underlying quality or performance differences. I show that the gender of the evaluatee, or the individual being evaluated, plays a role beyond serving as a proxy for missing quality information and that male and female evaluators incorporate gender differently under certain conditions. === by Mabel Lana Botelho Abraham. === Ph. D.
author2 Roberto Fernandez.
author_facet Roberto Fernandez.
Abraham, Mabel Lana Botelho
author Abraham, Mabel Lana Botelho
author_sort Abraham, Mabel Lana Botelho
title Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
title_short Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
title_full Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
title_fullStr Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
title_full_unstemmed Understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
title_sort understanding the conditions of bias : essays on gender differences in evaluation outcomes across three empirical contexts
publisher Massachusetts Institute of Technology
publishDate 2015
url http://hdl.handle.net/1721.1/98608
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