### Table 2. Top ranked motivating terms for TREC Topic Numbers 322 and 336 respectively

2006

"... In PAGE 6: ...R system was International Art Crime . A topic model was formed from the top 10 ranked documents. The list of motivating terms were then ranked based on their contribution to the topic. Table2 presents the top three ranked motivating terms for this topic. Each term could be considered related to the subject of crime.... ..."

Cited by 1

### Table 2: Crimes table.

2004

"... In PAGE 12: .... Yes). The dataset provided for the OVER Project contained over 70000 records, which represented approximately three and a half years of data. The fol- lowing tables contain details of the crime ( Table2 - 11382 data points), stolen property (Table 3 - 59216 data points), the victim (Table 4 - 10678 data points), and the ofiender (Table 5 - 1782 data points). The data flg- ures stated are those at the time of development of the discussed models,... In PAGE 13: ...Table2 , the CRIME NUMBER is the code consistent through all tables referring to a particular crime. CRIME REF is an alternate unique crimes code.... ..."

Cited by 2

### Table 14: Crime and Inequality using OLS

"... In PAGE 24: ... To test the sensitivity of the results to the regression specification and to better compare the results to others in the literature, we reestimate the models using an OLS specification, regressing log crime rates on logs of the same explanatory variables. Table14 presents the results for our most basic specification, in which only inequality is considered. Inequality is still strongly associated with all crimes, but the elasticities are consistently higher using OLS regressions.... ..."

### Table 14: Crime and Inequality using OLS

"... In PAGE 24: ... To test the sensitivity of the results to the regression specification and to better compare the results to others in the literature, we reestimate the models using an OLS specification, regressing log crime rates on logs of the same explanatory variables. Table14 presents the results for our most basic specification, in which only inequality is considered. Inequality is still strongly associated with all crimes, but the elasticities are consistently higher using OLS regressions.... ..."

### Table 2: Parametric Crime Equation Estimates

2003

"... In PAGE 16: ... The results are also similar to those obtained by Gyimah-Brempong (2001) who used the same data set to investigate the efiects of alcohol availability on crime rates.12 The estimates in Table2 indicate that there is a positive relationship between alcohol avail- ability and crime, results that are consistent with previous research results. How robust are the estimated results? Is the crime equation correctly specifled? We investigate these issues by us- ing a consistent nonparametric conditional moment test to test for the correct speciflcation of the estimated equation.... In PAGE 19: ... This pattern of changing response of crime to alcohol availability at difierent levels of alcohol availability is consistent with the results obtained by Alaniz et al (1998) who argue that the concentration of alcohol outlets in a neighborhood often leads to the breakdown of all social controls and hence leads to increased crime rates in that neighborhood. How do the nonparametric estimates compare to the linear parametric estimates presented in Table2 above? In order to facilitate a direct comparison of results, we present a summary of the goodness-of-flt14 of the parametric and nonparametric estimates (R2 and root mean square error (RMSE)), along with the calculated elasticities of crime with respect to alcohol availability computed at the mean number of licenses and crime rates, Ec;a in Table 4. An examination of Table 4 reveals that the nonparametric model provides a better flt to the un- derlying relationship between crime rates and alcohol availability than the linear parametric model.... ..."

### Table 1. Probability of changing attitude after a crime Result of the crime Initial attitude of

in of

"... In PAGE 3: ... If an individual does commit a crime, then his/her state may change, depending on whether or not he/she is caught. Table1 summarizes the possible outcomes. Table 1.... In PAGE 4: ...1 The degenerate society In the extreme case where there are no peer-to-peer interactions, our model reduces to a markov process. We can obtain the transition matrix for changes in the attitudes of individuals by combining the rates in Table1 , with the rate at which honest actors commit crimes. The resulting transition matrix of the process is: ... ..."

### Table 1. Probability of changing attitude after a crime Result of the crime Initial attitude of

in of

"... In PAGE 3: ... If an individual does commit a crime, then his/her state may change, depending on whether or not he/she is caught. Table1 summarizes the possible outcomes. Table 1.... In PAGE 4: ...1 The degenerate society In the extreme case where there are no peer-to-peer interactions, our model reduces to a markov process. We can obtain the transition matrix for changes in the attitudes of individuals by combining the rates in Table1 , with the rate at which honest actors commit crimes. The resulting transition matrix of the process is: ... ..."

### Table 2. Monthly Violent Crime Rates for 1982 Based on the Model (16).

"... In PAGE 27: ...727 432 . The estimated monthly rates and their estimated standard errors are given in Table2 and the corresponding information for quarterly and yearly rates is listed in Table 3. The estimates in Table 3 were obtained using the formulas given in Section 2.... ..."

### Table 6: Crime data: Performance comparison Log predictive

1993

"... In PAGE 16: ... Similar hybrid methods are found in most standard statistical computer packages. The models chosen using these methods are given in Table6 . All three standard methods indicate models that have log predictive scores that are larger than the scores for both model averaging procedures.... ..."

Cited by 33

### Table 3: Percent of Men Involved in Crime, Work, and School

"... In PAGE 11: ...Implications of the Model Table3 reports the activities of young men based on the NLSY in 1980. Nearly 80#25 of males ages 16-23 report no income from crime.... ..."