Behavioral/experimental economist studying fairness and inequality.
www.beaahumada.com
Handicaps in the Labor Market. Initial ability differences often grow due to unequal opportunities. Using theory and experiments, I study how handicap tournaments (like in sports) can close ability gaps and reduce long-term inequality.
Handicaps in the Labor Market. Initial ability differences often grow due to unequal opportunities. Using theory and experiments, I study how handicap tournaments (like in sports) can close ability gaps and reduce long-term inequality.
We study how "irrelevant" questions (like ice-breakers) affect hiring decisions and whether they justify gender biases.
We study how "irrelevant" questions (like ice-breakers) affect hiring decisions and whether they justify gender biases.
We study how the timing of redistribution and related info impacts preferences. Spectators decide redistribution for workers who either know or don’t know about it before task.
We study how the timing of redistribution and related info impacts preferences. Spectators decide redistribution for workers who either know or don’t know about it before task.
I'm thrilled to share about my research agenda! My work explores fairness, inequality, and redistribution preferences through experimental and behavioral methods. Here's a quick look at ongoing and future projects tackling these crucial topics! 🧵👇 #econsky #econjmp
Ever wondered how does uncertainty about sources of inequality affects redistribution?
In my jmp, Excuses and Redistribution, I explore how people use excuses to distort beliefs about merit and luck, justifying self-serving behavior. 🧵(1/6)
Economic implications: These behaviors can perpetuate inequality.
Social implications: Fosters polarization - people believe that those who are poor have themselves to blame, but those who are rich are due to luck. (6/6)
Read more here: drive.google.com/file/d/1A8t4...
Economic implications: These behaviors can perpetuate inequality.
Social implications: Fosters polarization - people believe that those who are poor have themselves to blame, but those who are rich are due to luck. (6/6)
Read more here: drive.google.com/file/d/1A8t4...
Under No Information, participants believe their partners’ success is due to luck, justifying keeping more earnings for themselves.
Redistribution is lower, and inequality increases. (4/6)
Under No Information, participants believe their partners’ success is due to luck, justifying keeping more earnings for themselves.
Redistribution is lower, and inequality increases. (4/6)
No Information: Only know how much $ each of them made.
Partial Information: Effort distribution is shown, reducing uncertainty. (3/6)
No Information: Only know how much $ each of them made.
Partial Information: Effort distribution is shown, reducing uncertainty. (3/6)
Participants perform a real-effort task where the piece rate (high or low) is randomly determined.
Then, they redistribute earnings between themselves and a partner under different information conditions. (2/6)
Participants perform a real-effort task where the piece rate (high or low) is randomly determined.
Then, they redistribute earnings between themselves and a partner under different information conditions. (2/6)