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"Plug-in" shadow price estimates for policy analysis

Author

Listed:
  • David H. Greenberg

    (Department of Economics, 1000 Hilltop Circle, University of Maryland Baltimore County, Baltimore, MD 21228, USA)

  • Aidan R. Vining

    (Faculty of Business Administration, Simon Fraser University, Burnaby, British Columbia, Canada V7A 1S6)

  • David L. Weimer

    (Public Policy Analysis Program, University of Rochester, Rochester, NY 14627, USA)

  • Anthony E. Boardman

    (Faculty of Commerce and Business Administration, 2053 Main Mall, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z2)

Abstract

In assessing existing or proposed public policies, analysts often need shadow price estimates for one or two key items - for example, the value of a human life, the cost of various types of injuries, the cost of a robbery or the value of an hour of travel time saved. This paper provides estimates of the values of many, frequently encountered impacts. These estimates are intended to be "plugged-in" to analyses of policy alternatives. Although these estimates may not be sufficiently accurate for some policy decisions, they will be very helpful in many policy situations.

Suggested Citation

  • David H. Greenberg & Aidan R. Vining & David L. Weimer & Anthony E. Boardman, 1997. ""Plug-in" shadow price estimates for policy analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(3), pages 299-324.
  • Handle: RePEc:spr:anresc:v:31:y:1997:i:3:p:299-324
    Note: Received: 15 August 1996 / Accepted in revised form: 19 February 1997
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    Cited by:

    1. Aidan R. Vining & David L. Weimer, 2019. "The Value of High School Graduation in the United States: Per-Person Shadow Price Estimates for Use in Cost–Benefit Analysis," Administrative Sciences, MDPI, vol. 9(4), pages 1-15, October.
    2. Anthony Boardman & Jeff Geng & Bruno Lam, 2020. "The Social Cost of Informal Electronic Waste Processing in Southern China," Administrative Sciences, MDPI, vol. 10(1), pages 1-20, February.

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