By Yuhyeong Jang1 ·Raanju R. Sundararajan1 ·Wagner Barreto-Souza2 · Elizabeth Wheaton-Paramo

The article presents a robust quantitative approach for determining significant economic factors for sex trafficking in the United States. The aim is to study monthly counts of sex trafficking-related convictions and use a wide range of economic variables as covariates to investigate their effect on conviction counts. A count time series model is considered along with a regression setup to include economic time series as covariates (economic factors) to explain the counts on sex trafficking-related convictions. The statistical significance of these economic factors is investigated, and the significant factors are ranked based on appropriate model selection methods. The inclusion of time-lagged versions of the economic factor time series in the regression model is also explored. The authors’ findings indicate that economic factors relating to immigration policy, consumer price index and labor market regulations are the most significant in explaining sex trafficking convictions

Empirical Economics. 2024, 18pg

By David Garland

This review situates the recent, radical challenges to American criminal justice—calls to end mass incarceration, defund the police, and dismantle systemic racism—within the broader social and economic arrangements that make the US system so distinctive and so problematic. It describes the social structures, institutions, and processes that give rise to America's extraordinary penal state—as well as to its extraordinarily high rates of homicide and social disorder—and considers what these portend for the prospect of radical change. It does so by locating American crime and punishment in the structural context of America's (always-already racialized) political economy—a distinctive set of social structures and institutional legacies that render the United States more violent, more disorderly, and more reliant on penal control than any other developed nation. Drawing on a broad range of social science research findings, it argues that this peculiar political economy—a form of capitalism and democratic governance forged on the anvils of slavery and racial segregation and rendered increasingly insecure and exclusionary in the decades following deindustrialization—generates high levels of social disorganization and criminal violence and predisposes state authorities to adopt penal control as the preferred policy response.

Annual Review of Criminology v. 6. 2023, 20pg

By Richard Rosenfeld, James Austin

This report examines the effects of a small set of factors on violent and property crime rates in Chicago. The authors find that a statistical model based on the Illinois imprisonment rate and a measure of the cost of living explained past variation in crime rates with minimal error.  The authors then used the model to forecast crime rates through 2025. Both violent and property crime are forecast to drop through 2025. In addition, the report finds that were Illinois to reduce its imprisonment rate by 25%, the effect on Chicago’s rate of violent crime would be negligible. No association was found between imprisonment rates and property crime. 

New York: Harry Frank Guggenheim Foundation. 2023, 20pg

By Peter Leasure and Hunter M. Boehme

Efforts such as evidence-based policing and data-driven policing have argued for the use of research and data analysis in the decision-making process for law enforcement agencies. The current study sought to examine the importance of data collection and data analysis across Ohio law enforcement agencies and whether Ohio law enforcement agencies are interested in improving their data collection and data analysis procedures. The results showed that the majority of respondents strongly agreed or somewhat agreed that data collection and data analysis are key components of their decision-making process, and that their agency could benefit from improved data collection and data analysis procedures. However, a nontrivial number of respondents strongly disagreed or somewhat disagreed that data collection and data analysis are key components of their decision-making process, and that their agency could benefit from improved data collection and data analysis procedures. Recommendations informed by these results are discussed in detail.

Drug Enforcement and Policy Center. July 2023, 8pg