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Do City Services Move Faster for Affluent and White Neighborhoods?

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Content provided by University of Chicago Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by University of Chicago Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Have you ever made a 311 call? This is a service provided by many cities that allows citizens to call in things like potholes, graffiti, fallen trees, ect. There is an assumption that many people have that requests made by white and more affluent neighborhoods probably get responded to faster. But is that accurate?

In a recent paper, “Unequal Responsiveness in City Service Delivery: Evidence from 24 Million 311 Calls” Stanford Postdoctoral Fellow Derek Holliday uses a large an unique dataset to find some surprising answers. But what are the implications of these findings, and are they positive or concerning results?

  continue reading

120 episoade

Artwork
iconDistribuie
 
Manage episode 428150399 series 2610829
Content provided by University of Chicago Podcast Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by University of Chicago Podcast Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Have you ever made a 311 call? This is a service provided by many cities that allows citizens to call in things like potholes, graffiti, fallen trees, ect. There is an assumption that many people have that requests made by white and more affluent neighborhoods probably get responded to faster. But is that accurate?

In a recent paper, “Unequal Responsiveness in City Service Delivery: Evidence from 24 Million 311 Calls” Stanford Postdoctoral Fellow Derek Holliday uses a large an unique dataset to find some surprising answers. But what are the implications of these findings, and are they positive or concerning results?

  continue reading

120 episoade

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