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An Empirical Analysis of the FBI's Ten Most Wanted

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  • Thomas J. Miles

Abstract

Police agencies regularly publish lists of wanted fugitives. These lists may serve a variety of purposes, including (1) announcement of the police agency's enforcement priorities and (2) the facilitation of fugitive apprehension. When a police agency's enforcement priorities encompass fugitives whose apprehension risks vary in their sensitivity to publicity, a tradeoff may exist between these two purposes. This article conducts the first statistical analysis of fugitives who have appeared on the Federal Bureau of Investigation's (FBI) Ten Most Wanted List. It reports results consistent with this tradeoff. Estimates from hazard models show that changes in the characteristics of fugitives on the list were contemporaneous with declines in the speed of apprehension and in the likelihood that information or “tips” from the public caused a fugitive's apprehension. The results suggest that as the FBI acquired responsibility to enforce a wider range of criminal activity and as other avenues for publicizing fugitives developed, it increasingly used the list to communicate its priorities rather than to locate fugitives.

Suggested Citation

  • Thomas J. Miles, 2008. "An Empirical Analysis of the FBI's Ten Most Wanted," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 5(2), pages 275-308, June.
  • Handle: RePEc:wly:empleg:v:5:y:2008:i:2:p:275-308
    DOI: 10.1111/j.1740-1461.2008.00125.x
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    1. Steven D. Levitt, 2004. "Understanding Why Crime Fell in the 1990s: Four Factors that Explain the Decline and Six that Do Not," Journal of Economic Perspectives, American Economic Association, vol. 18(1), pages 163-190, Winter.
    2. Thomas, Jonathan M, 1996. "On the Interpretation of Covariate Estimates in Independent Competing-Risks Models," Bulletin of Economic Research, Wiley Blackwell, vol. 48(1), pages 27-39, January.
    3. Schmidt, Peter & Witte, Ann Dryden, 1989. "Predicting criminal recidivism using 'split population' survival time models," Journal of Econometrics, Elsevier, vol. 40(1), pages 141-159, January.
    4. Han, Aaron & Hausman, Jerry A, 1990. "Flexible Parametric Estimation of Duration and Competing Risk Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(1), pages 1-28, January-M.
    5. Rosen, Sherwin, 2007. "Studies in Labor Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226726304.
    6. Miles, Thomas J, 2005. "Estimating the Effect of America's Most Wanted: A Duration Analysis of Wanted Fugitives," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 281-306, April.
    7. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
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