47,686 research outputs found

    Grand Larceny

    Get PDF

    Larceny in the Henhouse

    Get PDF
    PDF pages:

    Property Crime Reported in Alaska, 1986–2015

    Get PDF
    Data available in both Excel and PDF format. (Download below.)This fact sheet presents data on property crime in Alaska from 1986 to 2015 as reported in the Alaska Department of Public Safety publication Crime in Alaska. "Property crime" is an aggregate category that includes burglary, larceny-theft, and motor vehicle theft crimes. From 1986 to 2015 the property crime rate in Alaska decreased as the overall crime rate decreased. On average, property crime accounted for two-thirds of all crime in Alaska over the thirty-year period.Bureau of Justice Statistics, U.S. Department of JusticeProperty crime rates / Overall property crime rate / Burglary crime rate / Larceny-theft crime rate / Motor vehicle theft crime rate / Summary / Note

    CRIMES - PROCEDURE - INDICTMENT - INCLUDED OFFENSE

    Get PDF
    Defendant was indicted for burglary with intent to commit larceny. The jury found him guilty of larceny. Held, reversed, burglary not being a compound felony including larceny. State v. Henderson (Iowa 1931) 239 N. W. 588

    Sistem Pengendalian Internal, Fraud Diamond, dan Larceny sebagai Efek Mediasi Whistleblowingsystem (Studi pada Bpk RI)

    Get PDF
    This research is aim to determine the effect of internal control system, fraud diamond, and whistleblowingsystem on larceny at BPK RI. Research data was obtained through questionnaires distributed torespondent, the employees in the work unit of General Bureau, IT Bureau, Human Resources Bureau and Leaders Secretariat Bureau BPK RI. So as many as 105 samples collected. This research used quantitative analysis technique with Structural Equation Modeling (SEM) processed with Amos 23. The test results showed : 1) Internal control system variable has  positive and significant influence on whistleblowingsystem, 2) fraud diamond variable has not significant influence on whistleblowingsystem, 3) whistleblowingsystem variable has negative and significant influence on larceny, 4) internal control system variable has not significant influence on larceny, 5) fraud diamond variable has positive and significant influence on larceny. Therefore, the whistleblowingsystem mediation effect of the internal control system influence on larceny is perfectly significant. While the effect of fraud diamond on larceny is not proven to mediate

    Is there a link between unemployment and criminality in the us economy? Further evidence

    Get PDF
    Using Markov-Switching models, this paper studies the existence of a relationship between the unemployment rate and four different types of crimes in the U.S. economy. After it, using the non-parametric Concordance Index of Harding and Pagan (2002, 2006), the correlation between the cycles of unemployment rate and crime variables is determined. Results confirm that there is no significant relationship between the unemployment rate, burglary and motor-vehicle theft. However, the unemployment rate has a significant relationship with robbery and larceny. The contemporaneous relationship is positive for robbery and negative for larceny. However, it turns to be positive between the lagged values of the unemployment rate and larceny.Markov-Switching Models, Cycles, Unemployment, Crime.

    Effects of age, period, and cohort on larceny-theft and arson 1965-1984, 1988

    Get PDF
    This thesis examines the effects of age, time period, and cohort on arrest rates for two specific offenses: larceny-theft and arson. The required longitudinal data were gathered from the Uniform Crime Reports from 1965 through 1984. The analytical procedures used in this study include the dummy variable conversion of the correlation and the multiple regression. We found that the more frequently one is arrested for larceny-theft and arson, the more likely one will be arrested for other offenses. This was more the case for arson than for larceny-theft. The inverse relationship between age and arrest rates for larceny-theft and arson combined show younger persons (15-34) were more prone to be arrested than older ones (35-64). These findings are in agreement with those found in other studies. The regression analysis supported hypotheses 1 and 3, i.e., age and cohort had a signficiant impact on the arrest rates for both larceny-theft and arson. Hypothesis 2 was not confirmed, i.e., time period did not have a signficiant effect on arrest rates for larceny-theft or arson

    Theft and Deterrence

    Get PDF
    We report results from economic experiments of decisions that are best described as petty larceny, with high school and college students who can anonymously steal real money from each other. Our design allows exogenous variation in the rewards of crime, and the penalty and probability of detection. We find that the probability of stealing is increasing in the amount of money that can be stolen, and that it is decreasing in the probability of getting caught and in the penalty for getting caught. Furthermore, the impact of the certainty of getting caught is larger when the penalty is bigger, and the impact of the penalty is bigger when the probability of getting caught is larger.crime, punishment, incentives, deterrence, juvenile, arrest, risk, larceny

    Larceny Charge

    Get PDF

    Justice Center Research Overview; Vol. 2

    Get PDF
    Presents crime rates and number of offenses for violent and property crimes in Anchorage known to police from 2003 to 2007. Figures presented, from the FBI's Uniform Crime Reporting (UCR) program, are for the eight serious offenses defined as Part I offenses: murder/non-negligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft, and arson
    • …
    corecore