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Multiple and Possibly Conflicting Constraints

  • Stuart S. Nagel
Part of the Policy Studies Organization Series book series (PSOS)

Abstract

The purpose of this chapter is to discuss how to deal systematically with a variety of constraints in public policy analysis.

Keywords

Fair Procedure Total Budget Aggregate Score Minimum Constraint Crime Reduction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes and References

  1. 1.
    On dealing with constraints in public policy analysis in general, see S. Nagel, Public Policy: Goals, Means, and Methods (New York: St Martin’s Press, 1984), especially the chapters on equity, effectiveness, human rights, discretion, economic structure, government structure, political feasibility, and ethical constraints.Google Scholar
  2. On quantitative constraints in allocation problems, see “Allocation Logic”, in S. Nagel, Policy Evaluation: Making Optimum Decisions ( New York: Praeger, 1982 ).Google Scholar
  3. 2.
    On the idea of optimizing first and then satisfying the constraints especially in the context of allocating to the police and courts, see S. Nagel “Optimally Allocating Money to Places and Activities”, in Patrick Humphreys and Janos Vecsenyi (eds), High Level Decision Support: Lessons from Case Studies ( Amsterdam: North-Holland, 1986 ).Google Scholar
  4. On the example of allocating to the police and the courts, see James Levine, Michael Musheno, and Dennis Palumbo, Criminal Justice in America: Law in Action (Wiley, 1985 ).Google Scholar
  5. 3.
    On equity constraints, see Douglas Rae et al., Equalities (Cambridge, Mass.: Harvard University Press, 1981); and S. Nagel, “Equity as a Policy Goal”, in Nagel, Public Policy: Goals. Means and Methods.Google Scholar

Copyright information

© Policy Studies Organisation 1991

Authors and Affiliations

  • Stuart S. Nagel
    • 1
  1. 1.University of IllinoisUSA

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