162,195 research outputs found
Crime minimization and racial bias: what can we learn from police search data?
Is variation by motorist race in the success rate of searches informative about racial bias if police are motivated by crime minimisation rather than success-rate maximisation? We show that the basic idea of extracting information from 'hit rates' may still be valid, provided one can verify some simple restrictions on the joint distribution of criminality by race. We also extend these results to the case where the police minimise the rate of unpunished crime
[Report to Chief J. E. Curry, by an unknown author #1]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #2]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Perceptions of economic vulnerability: First evidence from the survey of economic expectations
This report uses data from the authors' National Survey of Economic Expectations to describe how, during 1994, working Americans with health insurance perceived the risk of near-term deterioration in their economic status. Perceived economic vulnerability is measured through responses to questions eliciting subjective probabilities of loss of health insurance, of burglary, and of job loss. We find that respondents tend to rank burglary as the most likely of the three events, followed by job loss, and then loss of health insurance. The perceived risk of crime victimization is much higher than the realized rate of victimization. Male and female respondents have similar risk perceptions but blacks have much greater perceived vulnerability than do whites.
Perceptions of Economic Insecurity: Evidence from the Survey of Economic Expectations
We have recently initiated the Survey of Economic Expectations (SEE) in an effort to learn how Americans perceive their near-term futures. This paper use SEE data on over two thousand labor force participants interviewed in 1994 and 1995 to describe how Americans in the labor force perceive the risk of near-term economic misfortune. We measure economic insecurity through responses to questions eliciting subjective probabilities of three events in the year ahead: absence of health insurance, victimization by burglary, and job loss. With item response rates exceeding 98 percent, respondents clearly are willing to answer the expectations questions and they appear to do so in a meaningful way. Using the responses to classify individuals as relatively secure, relatively insecure, and highly insecure, we find that respondents with a high risk of one adverse outcome tend also to perceive high risks of the other outcomes. Economic insecurity tends to decline with age and with schooling. Black respondents perceive much greater insecurity than do whites, especially among males. Within the period 1994-1995, we find some time-series variation in insecurity but no clear trends. We find that expectations and realizations of health insurance coverage and of job loss tend to match up quite closely, but respondents substantially overpredict the risk of burglary.
Murder on the mountain: author talk with Peter J. Wosh
Author talk by Peter J. Wosh on May 5th, 2022, on his book, "Murder on the Mountain: crime, passion, and punishment in gilded age New Jersey.
Using expectations data to study subjective income expectations
We have collected data on the one-year-ahead income expectations of members of American households in our Survey of Economic Expectations (SEE), a module of a national continuous telephone survey conducted at the University of Wisconsin. The income-expectations questions take this form: "What do you think is the percent chance (or what are the chances out of 100) that your total household income, before taxes, will be less than Y over the next 12 months?" We use the responses to a sequence of such questions posed for different income thresholds Y to estimate each respondent's subjective probability distribution for next year's household income. We use the estimates to study the cross- sectional variation in income expectations one year into the future.
Mr. Melvin J. Collier, RWWL AUC, June 2011
This video is a conversation with Mr. Melvin J. Collier. Mr. Collier talks about his book, "From Mississippi to Africa: A Journey of Discovery". Daniel Le, AUC Woodruff Library, is the interviewer
A Tripartite Post-Recession Rebalancing
In this latest Advance & Rutgers Report, entitled “A Tripartite Post-Recession Rebalancing,” Dean James W. Hughes and Professor Joseph J. Seneca deliver an incisive assessment of the current market conditions and obstacles in the path of our economic recovery. They offer a statistical cautionary tale that the private and public sector need to hear and acknowledge in order for the economy to make continued progress.This report was published as Issue Paper Number 7, November 2011, in Advance & Rutgers Report
Evidence for the decay B0→J/ψω and measurement of the relative branching fractions of meson decays to J/ψη and J/ψη′
First evidence of the B 0 → J / ψ ω decay is found and the B s 0 → J / ψ η and B s 0 → J / ψ η ′ decays are studied using a dataset corresponding to an integrated luminosity of 1.0 fb -1 collected by the LHCb experiment in proton-proton collisions at a centre-of-mass energy of sqrt(s) = 7 TeV. The branching fractions of these decays are measured relative to that of the B 0 → J / ψ ρ 0 decay:frac(B (B 0 → J / ψ ω), B (B 0 → J / ψ ρ 0)) = 0.89 ± 0.19 (stat) - 0.13 + 0.07 (syst),frac(B (B s 0 → J / ψ η), B (B 0 → J / ψ ρ 0)) = 14.0 ± 1.2 (stat) - 1.5 + 1.1 (syst) - 1.0 + 1.1 (frac(f d, f s)),frac(B (B s 0 → J / ψ η ′), B (B 0 → J / ψ ρ 0)) = 12.7 ± 1.1 (stat) - 1.3 + 0.5 (syst) - 0.9 + 1.0 (frac(f d, f s)), where the last uncertainty is due to the knowledge of f d / f s, the ratio of b-quark hadronization factors that accounts for the different production rate of B 0 and B s 0 mesons. The ratio of the branching fractions of B s 0 → J / ψ η ′ and B s 0 → J / ψ η decays is measured to befrac(B (B s 0 → J / ψ η ′), B (B s 0 → J / ψ η)) = 0.90 ± 0.09 (stat) - 0.02 + 0.06 (syst)
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