Arbeitspapier

Replication of Hamel & Wilcox-Archuleta (2022): "Black Workers in White Places: Daytime Racial Diversity and White Public Opinion"

In this replication study, we revisit the main empirical claims of Hamel and Wilcox-Archuleta's (HW) 2022 study on the impact of daytime racial diversity on White Americans' voting behavior and racial attitudes. HW introduce a novel zip code level measure of racial diversity that accounts for the influx of Black workers during daytime, showing that conventional purely residential based measures often underestimate the true degree of experienced racial diversity. Using survey data from the CCES, their findings suggest a negative correlation between racial flux and White Americans' Democratic voting tendencies and a positive correlation with racial resentment and opposition to affirmative action, all while controlling for the residential share of Blacks in the zip code. We assess the replicability of these findings by: (1) replicating the main results using the provided replication code, (2) reconstructing the racial flux measure and survey from raw data, (3) conducting multiverse analyses, and (4) replicating the analysis using an alternative data source. Our replication validates the robustness and accuracy of HW's initial conclusions, emphasizing the role of daytime racial diversity in shaping White Americans' political and racial attitudes.

Sprache
Englisch

Erschienen in
Series: I4R Discussion Paper Series ; No. 61

Klassifikation
Wirtschaft
Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Thema
Racial Diversity
Racial Attitudes
Voting Behavior

Ereignis
Geistige Schöpfung
(wer)
Gretton, Jeremy
Roemer, Tobias
Schlüter, Elmar
Ereignis
Veröffentlichung
(wer)
Institute for Replication (I4R)
(wo)
s.l.
(wann)
2024

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Gretton, Jeremy
  • Roemer, Tobias
  • Schlüter, Elmar
  • Institute for Replication (I4R)

Entstanden

  • 2024

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