Discrimination Flashcards

Lesson 11 (17 cards)

1
Q

What was the result of the Ayres and Siegelman (1995) study on used car sales?

A

Black women paid $900 more than white men.

This study highlighted discrimination in negotiations based on race and gender.

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2
Q

What was the success rate increase for female musicians in symphony orchestras after implementing blind auditions?

A

Success rate of female musicians increased by 160%.

This finding by Goldin and Rouse (2000) emphasized the effectiveness of removing gender markers in auditions.

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3
Q

How do online identities affect discrimination on platforms?

A

They can facilitate discrimination while also making interactions feel more comfortable.

This dual effect is particularly relevant on platforms that display personal details.

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4
Q

What was the finding regarding hiring biases in the online labor market?

A

Positive hiring bias for women compared to men.

The bias decreases with employer experience and is larger for female-stereotyped tasks.

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5
Q

What was the result of the audit study on Uber and Lyft regarding cancellations based on rider names?

A

Uber drivers canceled rides more often when the rider’s name sounded African-American.

Lyft showed no significant difference in cancellation rates due to names.

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6
Q

In the Airbnb audit study, how much less likely were hosts to accept requests from guests with African-American sounding names?

A

16% less likely.

This result was consistent across host sizes and more pronounced for hosts without prior African-American guests.

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7
Q

What impact does managerial response (MR) have on hotel reviews?

A

Share of negative reviews from women decreases after hotels start using MR.

Women perceive MR as a source of conflict, leading to less representation of their experiences.

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8
Q

What are some strategies to combat discrimination on platforms?

A
  • Careful tracking of user demographics
  • Maintain an experimental mindset
  • Automate transaction processes
  • Make discrimination policies more visible
  • Ensure algorithms are discrimination-aware
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9
Q

What effect does Instant Book have on Airbnb hosts?

A

It increases demand by 14%, particularly benefiting black hosts.

This comes at the cost of somewhat decreased ratings.

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10
Q

What is a key issue with algorithms in online platforms?

A

Algorithms can replicate biases present in their training data.

Examples include racial discrimination in background checks and gender bias in job ads.

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11
Q

What societal impacts can platforms like Uber and Lyft have?

A
  • Improved access to transportation for minorities
  • Increased competition affecting taxi medallion holders
  • Changes in public transport acceptance
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12
Q

What was the estimated overall welfare loss in NYC due to Airbnb in 2018?

A

$2.4 billion.

The burden falls most on white, highly-educated renters with high income.

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13
Q

How do platforms utilize algorithmic management?

A

They use reputation from reviews to affect search rankings and matching.

This impacts how platform workers value their ratings.

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14
Q

True or False: Ridesharing has been shown to reduce fatalities.

A

True.

The impact varies depending on the type of ridesharing (affordable vs. premium).

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15
Q

Fill in the blank: The same information that may facilitate comfort in interactions can also lead to _______.

A

[discrimination]

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16
Q

What is the importance of recognizing biases in platform design?

A

Many biases are unintended and can have significant societal impacts.

17
Q

What is a significant finding from the study by Holtz et al. (2022) regarding freelancers on Upwork?

A

Freelancers value a 5-star review at an average willingness-to-accept of $49.