@article{627b305fdc7540ceb51b4c3b89a7494b,
title = "How segregated is urban consumption?",
abstract = "We provide measures of ethnic and racial segregation in urban consumption. Using Yelp reviews, we estimate how spatial and social frictions influence restaurant visits within New York City. Transit time plays a first-order role in consumption choices, so consumption segregation partly reflects residential segregation. Social frictions also affect restaurant choices: individuals are less likely to visit venues in neighborhoods demographically different from their own. While spatial and social frictions jointly produce significant levels of consumption segregation, we find that restaurant consumption is only about half as segregated as residences. Consumption segregation owes more to social than spatial frictions.",
author = "Davis, {Donald R.} and Dingel, {Jonathan I.} and Joan Monras and Eduardo Morales",
note = "Funding Information: Charlene Lee, Rachel Piontek, Anil Sindhwani, Ludwig Suarez, Shirley Yarin, and, especially, Kevin Dano, Ben Eckersley, Hadi Elzayn, and Benjamin Lee for research assistance. Thanks to the New York Police Department, and especially Gabriel Paez, for sharing geocoded crime data. Dingel thanks the Kathryn and Grant Swick Faculty Research Fund at the University of Chicago Booth School of Business for supporting this work. This work was completed in part with resources provided by the University of Chicago Research Computing Center. Monras thanks the Banque de France Sciences Po partnership. Part of this work is supported by a public grant overseen by the French National Research Agency (ANR) as part of the Investis-sements d{\textquoteright}Avenir program LIEPP (ANR-11-LABX-0091, ANR-11-IDEX-0005-02). Morales thanks the University of Wisconsin–Madison and the Cowles Foundation at Yale University for their hospitality and support. Code and data are provided as supplementary material online. Funding Information: We thank Jesse Shapiro, four anonymous referees, Treb Allen, David Atkin, Pierre-Philippe Combes, Victor Couture, Thomas Covert, Alon Eizenberg, Ingrid Gould Ellen, Mogens Fosgerau, Manuel Garcia-Santana, Mar?al Garolera, Robin Gomila, Joshua Gottlieb, Jessie Handbury, Art O?Sullivan, Albert Saiz, and many seminar audiences for helpful comments. We thank Bowen Bao, Luis Costa, Amrit K. Daniel, David Henriquez, Yan Hu, Charlene Lee, Rachel Piontek, Anil Sindhwani, Ludwig Suarez, Shirley Yarin, and, especially, Kevin Dano, Ben Eckersley, Hadi Elzayn, and Benjamin Lee for research assistance. Thanks to the New York Police Department, and especially Gabriel Paez, for sharing geocoded crime data. Dingel thanks the Kathryn and Grant Swick Faculty Research Fund at the University of Chicago Booth School of Business for supporting this work. This work was completed in part with resources provided by the University of Chicago Research Computing Center. Monras thanks the Banque de France Sciences Po partnership. Part of this work is supported by a public grant overseen by the French National Research Agency (ANR) as part of the Investis-sements d?Avenir program LIEPP (ANR-11-LABX-0091, ANR-11-IDEX-0005-02). Morales thanks the University of Wisconsin?Madison and the Cowles Foundation at Yale University for their hospitality and support. Code and data are provided as supplementary material online. Publisher Copyright: {\textcopyright} 2019 by The University of Chicago. All rights reserved.",
year = "2019",
month = aug,
day = "1",
doi = "10.1086/701680",
language = "English (US)",
volume = "127",
pages = "1684--1738",
journal = "Journal of Political Economy",
issn = "0022-3808",
publisher = "University of Chicago",
number = "4",
}