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Identifying Taste-Based Discrimination: Effect of Black Electoral Victories on Racial Prejudice and Economic Gaps

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Abstract

I test for the causal impact of Black electoral victories in local elections on White Americans’ attitude toward Black Americans. Using Race Implicit Attitude Test scores as a measure of racial prejudice and close-election regression-discontinuity design for causal inference, I find Black electoral victories cause measures of racial bias to rise, by 4% of the average Black-White difference in IAT scores. Simultaneously, they widen racial gaps in unemployment and mortgage denials. Interpreting these close electoral victories as instrumental variables, I find a large causal effect of prejudice-based racial discrimination on Black-White economic gaps.

Suggested Citation

  • Jung Sakong, 2021. "Identifying Taste-Based Discrimination: Effect of Black Electoral Victories on Racial Prejudice and Economic Gaps," Working Paper Series WP-2021-07, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhwp:92065
    DOI: 10.21033/wp-2021-07
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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Stephens-Davidowitz, Seth, 2014. "The cost of racial animus on a black candidate: Evidence using Google search data," Journal of Public Economics, Elsevier, vol. 118(C), pages 26-40.
    3. Kerwin Kofi Charles & Jonathan Guryan, 2011. "Studying Discrimination: Fundamental Challenges and Recent Progress," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 479-511, September.
    4. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    5. Brollo, Fernanda & Troiano, Ugo, 2016. "What happens when a woman wins an election? Evidence from close races in Brazil," Journal of Development Economics, Elsevier, vol. 122(C), pages 28-45.
    6. Ferreira, Fernando & Gyourko, Joseph, 2014. "Does gender matter for political leadership? The case of U.S. mayors," Journal of Public Economics, Elsevier, vol. 112(C), pages 24-39.
    7. Nunn, Nathan, 2009. "The Importance of History for Economic Development," Scholarly Articles 33077824, Harvard University Department of Economics.
    8. Raj Chetty & Nathaniel Hendren & Maggie R Jones & Sonya R Porter, 2020. "Race and Economic Opportunity in the United States: an Intergenerational Perspective [“Intergenerational Mobility of Immigrants in the US Over Two Centuries,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 711-783.
    9. Washington, Ebonya, 2006. "How Black Candidates Affect Voter Turnout," Working Papers 16, Yale University, Department of Economics.
    10. Lori Beaman & Raghabendra Chattopadhyay & Esther Duflo & Rohini Pande & Petia Topalova, 2009. "Powerful Women: Does Exposure Reduce Bias?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1497-1540.
    11. Lowes, Sara Rachel & Nunn, Nathan & Robinson, James A. & Weigel, Jonathan Lynn, 2015. "Understanding Ethnic Identity in Africa: Evidence from the Implicit Association Test (IAT)," Scholarly Articles 33077827, Harvard University Department of Economics.
    12. David Schindler & Mark Westcott, 2021. "Shocking Racial Attitudes: Black G.I.s in Europe," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(1), pages 489-520.
    13. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    14. Vogl, Tom S., 2014. "Race and the politics of close elections," Journal of Public Economics, Elsevier, vol. 109(C), pages 101-113.
    15. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    16. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    17. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    18. Ebonya Washington, 2006. "How Black Candidates Affect Voter Turnout," NBER Working Papers 11915, National Bureau of Economic Research, Inc.
    19. Fernando Ferreira & Joseph Gyourko, 2009. "Do Political Parties Matter? Evidence from U.S. Cities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 399-422.
    20. Raghabendra Chattopadhyay & Esther Duflo, 2004. "Women as Policy Makers: Evidence from a Randomized Policy Experiment in India," Econometrica, Econometric Society, vol. 72(5), pages 1409-1443, September.
    21. Nathan Nunn, 2009. "The Importance of History for Economic Development," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 65-92, May.
    22. Melissa J. Marschall & Anirudh V. S. Ruhil, 2006. "The Pomp of Power: Black Mayoralties in Urban America," Social Science Quarterly, Southwestern Social Science Association, vol. 87(4), pages 828-850, December.
    23. Sara Lowes & Nathan Nunn & James A. Robinson & Jonathan Weigel, 2015. "Understanding Ethnic Identity in Africa: Evidence from the Implicit Association Test (IAT)," American Economic Review, American Economic Association, vol. 105(5), pages 340-345, May.
    24. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    25. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    26. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, September.
    27. Andrew C. Eggers & Anthony Fowler & Jens Hainmueller & Andrew B. Hall & James M. Snyder, 2015. "On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from Over 40,000 Close Races," American Journal of Political Science, John Wiley & Sons, vol. 59(1), pages 259-274, January.
    28. David S. Lee & Enrico Moretti & Matthew J. Butler, 2004. "Do Voters Affect or Elect Policies? Evidence from the U. S. House," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 807-859.
    29. Yusuf Neggers, 2018. "Enfranchising Your Own? Experimental Evidence on Bureaucrat Diversity and Election Bias in India," American Economic Review, American Economic Association, vol. 108(6), pages 1288-1321, June.
    30. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    31. Eric Luis Uhlmann & Anthony Greenwald & Andrew Poehlmann & Mahzarin Banaji, 2009. "Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity," Post-Print hal-00516146, HAL.
    32. Ebonya Washington, 2006. "How Black Candidates Affect Voter Turnout," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 973-998.
    33. Kerwin Kofi Charles & Jonathan Guryan, 2008. "Prejudice and Wages: An Empirical Assessment of Becker's The Economics of Discrimination," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 773-809, October.
    34. Sara Lowes & Nathan Nunn & James A. Robinson & Jonathan L. Weigel, 2017. "The Evolution of Culture and Institutions: Evidence From the Kuba Kingdom," Econometrica, Econometric Society, vol. 85, pages 1065-1091, July.
    35. Todd A. Gormley & David A. Matsa, 2011. "Growing Out of Trouble? Corporate Responses to Liability Risk," The Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2781-2821.
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    More about this item

    Keywords

    Racial discrimination; Racial discrimination Regression discontinuity;

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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