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Advancing public sector performance analysis

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  • Carolyn J. Heinrich

Abstract

Recent reforms intended to promote more accountable and responsive government have increased public attention to performance analysis and accelerated the production and use of information on agency performance and public program outcomes. Drawing from cases and empirical studies, this presentation considers questions about what should count as evidence, how it should be communicated, who should judge the quality and reliability of evidence and performance information, and how to achieve a balance between processes that produce rigorous information for decision making and those that foster democratic governance and accountability. Promising directions are suggested for efforts to improve government effectiveness through the use of more rigorous information in decision making, along with acknowledgment of the limitations and risks associated with such efforts. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Carolyn J. Heinrich, 2008. "Advancing public sector performance analysis," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 373-389, September.
    • Handle: RePEc:wly:apsmbi:v:24:y:2008:i:5:p:373-389
    DOI: 10.1002/asmb.725
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    References listed on IDEAS

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    Cited by:

    1. Maria Rosaria D'Esposito & Michel Tenenhaus, 2008. "Statistical methods in performance analysis," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 369-371, September.
    2. Pettas, Nikolaos & Giannikos, Ioannis, 2014. "Evaluating the delivery performance of public spending programs from an efficiency perspective," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 140-150.

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