IDEAS home Printed from https://ideas.repec.org/p/uww/wpaper/05-05.html
   My bibliography  Save this paper

The Geographic Distribution of Disaster Damages across the United States

Author

Listed:
  • Jeff Olson

    (Department of Geography, Ohio State University)

  • Mark Skidmore

    () (Department of Economics, University of Wisconsin - Whitewater)

Abstract

In this paper we examine the geographic distribution of economic damages caused by natural disasters throughout the United States. Some economists have advocated the use of appropriately priced comprehensive natural disaster insurance as a means of disaster mitigation. The presumption implicit in the comprehensive disaster framework is that natural disasters are not uniformly distributed across the nation. While it clear that disasters occur more frequently and cause more damages in some regions than in others, limitations on the availability of and public access to disaster damage data have constrained researchers in their examination of the actual experiences across the states. Which states have the most damages resulting from natural disaster events? The objective of the paper is to compile information on disaster damages from multiple sources and present the spatial distribution of damages across the country. Some of the results are in line with what one might expect. However, we document some surprising results. The research also demonstrates the paucity of data on disaster damages over time and across space, highlighting the need for a systematic and comprehensive single public source of information on disaster damages for all types of natural hazards.

Suggested Citation

  • Jeff Olson & Mark Skidmore, 2005. "The Geographic Distribution of Disaster Damages across the United States," Working Papers 05-05, UW-Whitewater, Department of Economics.
  • Handle: RePEc:uww:wpaper:05-05
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:uww:wpaper:05-05. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Yamin Ahmad). General contact details of provider: http://edirc.repec.org/data/eduwwus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.