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The Effects of Pre-Trial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges
Over 20 percent of prison and jail inmates in the United States are currently awaiting trial, but little is known about the impact of pre-trial detention on defendants. This paper uses the detention tendencies of quasi-randomly assigned bail judges to estimate the causal effects of pre-trial detention on subsequent defendant outcomes. Using data from administrative court and tax records, we find that pre-trial detention significantly increases the probability of conviction, primarily through an increase in guilty pleas. Pre-trial detention has no net effect on future crime, but decreases formal sector employment and the receipt of employment- and tax-related government benefits. These results are consistent with (i) pre-trial detention weakening defendants' bargaining positions during plea negotiations and (ii) a criminal conviction lowering defendants' prospects in the formal labor market.
race  discrimination  criminal_justice  law  empirical_legal_studies  civil_rights  observational_studies  legal_system  bias  economic_sociology  inequality  united_states_of_america  via:nyhan 
yesterday by rvenkat
Cognitive Biases in Programming – Yash Ranadive – Medium
IKEA Effect
Overvaluing your own solutions to a problem, and thus in contrast undervalue other solutions
engineering  quality  bias 
4 days ago by janpeuker
Big Data will be biased, if we let it – Towards Data Science – Medium
For those of us who have the ever exciting and growing task of working with Big Data to help solve some of organization’s biggest inefficiencies, questions, or problems, perpetuating bias is a way too easy-to-make mistake, and we should all be familiarized with it by now.
data_science  bias  algorithmic_transparency  ai  hcds 
5 days ago by jaimoe

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