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Does Size influence Jail Efficiency?: A Metafrontier analyisis of local Jails in the United States

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  • Alda, Erik

Abstract

This study examines the efficiency of local jails for the year 2016. It employs a well-known non-parametric methodology (DEA) with metafrontiers. Metafrontiers envelop separate groups that have similar production technology and therefore allows for more accurate efficiency estimates. Using an input-oriented model with variable returns to scale, the results of this study suggest that, on average, jails could reduce or reallocate their inputs by 37% given their output level. Also, there are differences in efficiency between groups that operate on different production technologies. The group of small jails appears to operate more efficiently than the groups of large and mega-large jails. From a managerial perspective, this study presents evidence that jail managers need to assess more carefully how they allocate human and financial resources to try to improve operational efficiency. From a policy perspective, the results indicate that there is room for cost-saving approaches to maximize taxpayer dollars.

Suggested Citation

  • Alda, Erik, 2019. "Does Size influence Jail Efficiency?: A Metafrontier analyisis of local Jails in the United States," MPRA Paper 91803, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:91803
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    References listed on IDEAS

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    3. Miguel St. Aubyn, 2008. "Law and Order Efficiency Measurement – A Literature Review," Working Papers Department of Economics 2008/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    4. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
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    6. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    7. Joe Sarkis, 2007. "Preparing Your Data for DEA," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 305-320, Springer.
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    More about this item

    Keywords

    Jails; Performance; Efficiency; Data Envelopment Analysis; Metafrontiers;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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