Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Archive
    • Supplementary Material
  • Info for
    • Authors
    • Subscribers
    • Institutions
    • Advertisers
  • About Us
    • About Us
    • Editorial Board
  • More
    • Feedback
    • Request JHR at your library
    • Research Highlights
  • Alerts
  • Special Issue
  • Other Publications
    • UWP

User menu

  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Human Resources
  • Other Publications
    • UWP
  • Register
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Human Resources

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Archive
    • Supplementary Material
  • Info for
    • Authors
    • Subscribers
    • Institutions
    • Advertisers
  • About Us
    • About Us
    • Editorial Board
  • More
    • Feedback
    • Request JHR at your library
    • Research Highlights
  • Alerts
  • Special Issue
  • Follow uwp on Twitter
Research ArticleArticles

Detecting Discrimination in Audit and Correspondence Studies

David Neumark
Journal of Human Resources, October 2012, 47 (4) 1128-1157; DOI: https://doi.org/10.3368/jhr.47.4.1128
David Neumark
David Neumark is Professor of Economics and Director of the Center for Economics & Public Policy at UCI, a research associate of the NBER, and a research fellow at IZA. He is grateful to the UCI Academic Senate Council on Research, Computing, and Libraries for research support, to Scott Barkowski, Marianne Bitler, Richard Blundell, Thomas Corneliβen, Ying-Ying Dong, Judith Hellerstein, James Heckman, an anonymous referee, and seminar participants at Baylor University, Cal State Fullerton, Cornell University, the Federal Reserve Bank of San Francisco, Hebrew University, the Melbourne Institute, the University of Oklahoma, Tel Aviv University, the University of Sydney, and the All-California Labor Conference for helpful comments, and to Scott Barkowski, Andrew Chang, Jennifer Graves, and Smith Williams for research assistance. He also thanks Marianne Bertrand and Sendhil Mullainathan for supplying their data, available from the AEA website at = 10.1257/0002828042002561
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
  • References
  • PDF
Loading

Article Information

vol. 47 no. 4 1128-1157
DOI 
https://doi.org/10.3368/jhr.47.4.1128
Published By 
University of Wisconsin Press
Print ISSN 
0022-166X
Online ISSN 
1548-8004
History 
  • Accepted November 1, 2011
  • Published online October 25, 2012.
Copyright & Usage 
© 2012 by the Board of Regents of the University of Wisconsin System

Author Information

  1. David Neumark
  1. David Neumark is Professor of Economics and Director of the Center for Economics & Public Policy at UCI, a research associate of the NBER, and a research fellow at IZA. He is grateful to the UCI Academic Senate Council on Research, Computing, and Libraries for research support, to Scott Barkowski, Marianne Bitler, Richard Blundell, Thomas Corneliβen, Ying-Ying Dong, Judith Hellerstein, James Heckman, an anonymous referee, and seminar participants at Baylor University, Cal State Fullerton, Cornell University, the Federal Reserve Bank of San Francisco, Hebrew University, the Melbourne Institute, the University of Oklahoma, Tel Aviv University, the University of Sydney, and the All-California Labor Conference for helpful comments, and to Scott Barkowski, Andrew Chang, Jennifer Graves, and Smith Williams for research assistance. He also thanks Marianne Bertrand and Sendhil Mullainathan for supplying their data, available from the AEA website at http://www.aeaweb.org/articles.php?doi = 10.1257/0002828042002561
  1. The simulation data and the computer code used in this paper can be obtained beginning May 2013 through April 2016 from David Neumark, Department of Economics, 3151 Social Science Plaza, UCI, Irvine, CA, 92697, dneumark{at}uci.edu.

Cited By...

  • 115 Citations
  • Google Scholar
PreviousNext
Back to top

In this issue

Journal of Human Resources: 47 (4)
Journal of Human Resources
Vol. 47, Issue 4
2 Oct 2012
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
  • Ed Board (PDF)
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Human Resources.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Detecting Discrimination in Audit and Correspondence Studies
(Your Name) has sent you a message from Journal of Human Resources
(Your Name) thought you would like to see the Journal of Human Resources web site.
Citation Tools
Detecting Discrimination in Audit and Correspondence Studies
David Neumark
Journal of Human Resources Oct 2012, 47 (4) 1128-1157; DOI: 10.3368/jhr.47.4.1128

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Detecting Discrimination in Audit and Correspondence Studies
David Neumark
Journal of Human Resources Oct 2012, 47 (4) 1128-1157; DOI: 10.3368/jhr.47.4.1128
Digg logo Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • Age Discrimination in Hiring: Evidence from Age-Blind vs. Non-Age-Blind Hiring Procedures
  • Do Low-Wage Employers Discriminate against Applicants with Long Commutes?: Evidence from a Correspondence Experiment
  • Wage Discrimination When Identity Is Subjective: Evidence from Changes in Employer-Reported Race
  • Google Scholar

More in this TOC Section

  • Taken by Storm
  • Selection into Identification in Fixed Effects Models, with Application to Head Start
  • Dynamics of the Gender Gap in High Math Achievement
Show more Articles

Similar Articles

UWP

© 2023 Board of Regents of the University of Wisconsin System

Powered by HighWire