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Do City Services Move Faster for Affluent and White Neighborhoods?

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Manage episode 428150399 series 2610829
Indhold leveret af University of Chicago Podcast Network. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af University of Chicago Podcast Network eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

122 episoder

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Manage episode 428150399 series 2610829
Indhold leveret af University of Chicago Podcast Network. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af University of Chicago Podcast Network eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

122 episoder

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