Economical Crime Control

Working Paper: NBER ID: w16513

Authors: Philip J. Cook; Jens Ludwig

Abstract: This paper is the introductory chapter for the forthcoming NBER volume Controlling Crime: Strategies and Tradeoffs. The Great Recession has led to cuts in criminal justice expenditures, and the trend towards ever-higher incarceration rates that has been underway since the 1970s in the U.S. appears to have turned the corner. That raises the question of whether the crime drop can be sustained. State and local revenue shortfalls have engendered intense interest in cost-cutting measures that do not sacrifice public safety. We argue that there is some reason for optimism, simply because current criminal justice allocations and policies appear to be inefficient - more crime control could be accomplished with fewer resources. The crime problem is often framed as a debate between those who favor a "tough" punitive approach versus those who favor a "soft" approach that focuses on prevention or remediation programs. But the canonical economic model of crime from Becker (1968) suggests that the decision to commit crime involves a weighing of both benefits and costs, implying that both tough and soft approaches might be useful. It is ultimately an empirical question about how the marginal crime-control dollar may be most effectively deployed. The evidence presented in this edited volume suggests that a more efficient portfolio of crime-control strategies would involve greater attention to enhancing the certainty rather than the severity of punishment for criminal behavior, stimulating private-sector cooperation for controlling crime, and making strategic investments in the human capital of at-risk populations, including in particular efforts to improve the social-cognitive skills of justice-system-involved populations. To help illustrate the magnitude of the inefficiencies within the current system, the essay concludes with a thought experiment that considers how much additional crime-prevention could be obtained by reverting average sentence lengths back to 1984 levels (midway through the Reagan era) and redirecting the freed-up resources (on the order of $12 billion annually) to alternative uses.

Keywords: No keywords provided

JEL Codes: K42


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
current criminal justice policies are inefficient (K14)reallocating resources could yield better crime control outcomes (H76)
enhancing the certainty of punishment (K40)better outcomes in crime reduction (K42)
private sector cooperation (L33)significant role in crime reduction (K42)
investing in human capital and social-cognitive skills among at-risk populations (J24)improved outcomes in crime prevention (K42)
reverting average sentence lengths to 1984 levels (E65)free up resources for more effective crime prevention strategies (K42)

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