The studies below include work conducted by the Damage Assessment, Remediation, and Restoration Program and its partners. The bibliography below includes a selection of the economic valuation research literature relevant to DARRP's mission and economic analyses. We will be regularly updating this page (both the bibliography and studies linked below); if you are interested in receiving notification of new studies added, please e-mail Anthony Dvarskas to be on our distribution list.

• "Economic Value for Protecting and Restoring Hawaiian Coral Reef Ecosystems", October 2011. This report documents results of a study commissioned by the National Oceanic and Atmospheric Administration to improve methods for measuring the economic values that the U.S. public places on the protection and restoration of coral reef ecosystems. The work focused on the coral reefs of Hawaii. The study reveals the estimated total economic value the American people hold for the coral reefs of the main Hawaiian Islands is $33.57 billion.
• "Introduction to Attribute-Based Stated Choice Methods", January 1998. Stated choice methods can be used to determine resource-based compensation for natural resource damage assessments. This paper presents an overview of stated choice methods, addressing both theoretical and practical issues.
• The Public's Habitat Preferences: An Analysis, January 2006. Following injury to natural resources, NOAA has the responsibility to ensure that the public is compensated for lost environmental services. However, this responsibility is complicated when it is not possible to provide compensatory restoration of the same habitat type as was injured. In these situations, NOAA relies on science-based tradeoff ratios to equate services derived from various habitats. The Public's Habitat Preferences: An Analysis summarizes NOAA's initial attempt to determine whether these science-based tradeoff ratios match public preferences for habitat restoration. The results indicate the types of information NOAA should solicit during public restoration scoping efforts.
• Report of the NOAA Panel on Contingent Valuation, January, 1993.
• "The Value of Preventing Oil Spill Injuries to Natural Resources Along California's Central Coast, Volume I", March 1996. - The purpose of the California Oil Spill (COS) Contingent Valuation (CV) Study was "to execute and document a contingent valuation study of natural resource damages associated with offshore, coastal, or estuarine oil spills in California" (State of California, Department of Justice, Contract Number 89-2126). The COS CV study developed an estimate of per household ex ante economic value for a program to prevent a specified set of natural resource injuries to those species of birds and intertidal life that are consistently affected by oil spills along California's Central Coast.
• Assessment of Techniques for Estimating Beach Attendance, April 2003. Oil spills and other environmental incidents often result in lost recreational use of beaches and coastal waterways. Under the Oil Pollution Act of 1990 and other environmental liability laws, the public can be compensated for lost beach use from the time of the incident until beach use is restored to the conditions that existed but-for the incident conditions. This paper focuses on three onsite survey techniques to estimate beach attendance: all day counts, periodic counts, and helicopter overflights. The results from these different techniques are discussed and some conclusions on the related merits are drawn.

Economic Research Reports From Damage Assessment Cases

• Exxon Valdez Report, November 1992. This report details the contingent valuation study of lost passive use values for the Exxon Valdez oil spill. The appendices for the report are also available.
• Montrose/PV Shelf Lost Use Value Report, September 1994. This report details the contingent valuation approach used to assess lost use value due to PCB and DDT contamination in the Southern California Bight.

Selected Economics Literature

Allen BP, Loomis JB (2008) The decision to use benefit transfer or conduct original valuation research for benefit-cost and policy analysis. Contemp Econ Policy 26:1-12.

Baerenklau KA, Provencher B (2005) Static modeling of dynamic recreation behavior: implications for prediction and welfare estimation. J Environ Econ Manage 50:617-636.

Bennear LS, Stavins RN, Wagner AF (2005) Using revealed preferences to infer environmental benefits: evidence from recreational fishing licenses. J Regul Econ 28:157-179.

Breffle WS, Maroney KK (2009) The restoration of fishing services and the conveyance of risk information in the Southern California Bight. Mar Policy 33:561-570.

Carson RT, Hanemann WM, Wegge TC (2009) A nested logit model of recreational fishing demand in Alaska. Mar Resource Econ 24:101-129.

Gillig D, Woodward R, Ozuna T, Griffin EL (2003) Joint estimation of revealed and stated preference data: an application to recreational red snapper valuation. Agr Resource Econ Rev 32:209-221.

Hauber AB, Parsons GR (2000) The effect of nesting structure specification on welfare estimation in a random utility model of recreational demand: an application to the demand for recreational fishing. Am J Agr Econ 82:501-514.

Hunt LM, Boxall PC, Boots B (2007) Accommodating complex substitution patterns in a random utility model of recreational fishing. Mar Resource Econ 22:155-172.

Jakus PM, Downing M, Bevelhimer MS, Fly JM (1997) Do sportfish consumption advisories affect reservoir anglers' site choice? Agr Resource Econ Rev 26:196-204.

Jakus PM, Dadakas D, Fly JM (1998) Fish consumption advisories: incorporating angler-specific knowledge, habits, and catch rates in a site choice model. Am J Agr Econ 80:1019-1024.

Jakus PM, Shaw WD (2003) Perceived hazard and product choice: an application to recreational site choice. J Risk Uncertainty 26:77-92.

Johnston RJ, Ranson MH, Besedin EY, Helm EC (2006) What determines willingness to pay per fish? A meta-analysis of recreational fishing values. Mar Resource Econ 21:1-32.

Macdonald HF, Boyle KJ (1997) Effect of a statewide sport fish consumption advisory on open-water fishing in Maine. N Am J Fish Manage 17:687-695.

MacNair DJ, Desvousges WH (2007) The economics of fish consumption advisories: insights from revealed and stated preference data. Land Econ 83:600-616.

Montgomery M, Needelman M (1997) The welfare effects of toxic contamination in freshwater fish. Land Econ 73:211–223.

Morey E, Breffle WS (2006) Valuing a change in a fishing site without collecting characteristics data on all fishing sites: a complete but minimal model. Am J Agr Econ 88:150-161.

Morey E, Thacher J, Breffle W (2006) Using angler characteristics and attitudinal data to identify environmental preference classes: a latent-class model. Environ Res Econ 34:91-115.

Murdock J (2006) Handling unobserved site characteristics in random utility models of recreation demand. J Environ Econ Manage 51:1-25.

Schumann PW, Schwabe KA (2004) An analysis of congestion measures and heterogeneous angler preferences in a random utility model of recreational fishing. Environ Resource Econ 27:429-450.

Swait J, Adamowicz W, van Bueren M (2004) Choice and temporal welfare impacts: incorporating history into discrete choice models. J Environ Econ Manage 47:94-116.

Whitehead JC, Clifford WB, Hoban TJ (2001) Willingness to pay for a saltwater recreational fishing license: a comparison of angler groups. Mar Resource Econ 16:177-194.