Estimating theEx-anteRecreational Loss of an Oil Spill using Revealed and Stated Preference Data

This paper combines data to estimate the ex-ante recreational impact of oil spills. Using a unique contingent behavior question, our application highlights the gains in combining stated and revealed preferences. We consider both a reduction of the available choice set and of perceived site quality. We show that omitting perceived site quality leads to low welfare losses while omitting alternative specific constants leads to high welfare losses. Overall, we find recreational losses due to potential oil spills in Norway ranging from 347 and 524 NOK (32 to 49 US dollars) per person across the four oil spill scenarios. (Q51)

[1]  J. Rolfe,et al.  Potential changes in the recreational use value for Coastal Bay of Plenty, New Zealand due to oil spills: A combined approach of the travel cost and contingent behaviour methods , 2022, Ocean & Coastal Management.

[2]  J. Whitehead,et al.  Joint estimation of angler revealed preference site selection and stated preference choice experiment recreation data considering attribute non-attendance , 2022, Journal of Environmental Economics and Policy.

[3]  Petr Mariel,et al.  On the Validity and Reliability of Coastal Quality Change Estimates: Evidence from Norway , 2021, Coastal Management.

[4]  Frank Lupi,et al.  Best Practices for Implementing Recreation Demand Models , 2020, Review of Environmental Economics and Policy.

[5]  J. Whitehead,et al.  Estimating recreation benefits through joint estimation of revealed and stated preference discrete choice data , 2020, Empirical Economics.

[6]  David Palma,et al.  Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application , 2019, Journal of Choice Modelling.

[7]  H. Allen Klaiber,et al.  Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction , 2019 .

[8]  Gorm Kipperberg,et al.  The impact of wind turbines on local recreation: Evidence from two travel cost method – contingent behavior studies , 2019, Journal of Outdoor Recreation and Tourism.

[9]  J. Meyerhoff,et al.  A More Flexible Model or Simply More Effort? On the Use of Correlated Random Parameters in Applied Choice Studies , 2018, Ecological Economics.

[10]  Roger H. von Haefen,et al.  Estimating the value of lost recreation days from the Deepwater Horizon oil spill , 2018, Journal of Environmental Economics and Management.

[11]  P. Boxall,et al.  Modelling the Effect of Chronic Wasting Disease on Recreational Hunting Site Choice Preferences and Choice Set Formation over Time , 2018 .

[12]  J. Whitehead,et al.  Estimating Lost Recreational Use Values of Visitors to Northwest Florida due to the Deepwater Horizon Oil Spill Using Cancelled Trip Data , 2018, Marine Resource Economics.

[13]  R. Melstrom,et al.  Catch-and-release regulations and paddlefish angler preferences. , 2018, Journal of environmental management.

[14]  Tess M. Stafford,et al.  Accounting for outside options in discrete choice models: An application to commercial fishing effort , 2018 .

[15]  K. Train,et al.  Lost Use-Value from Environmental Injury When Visitation Drops at Undamaged Sites , 2018, Land Economics.

[16]  Christopher M. Clapp,et al.  The Effects of the BP Deepwater Horizon Oil Spill on Housing Markets , 2018, Journal of Housing Economics.

[17]  J. Herriges,et al.  Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach , 2017 .

[18]  Stephane Hess,et al.  Correlation and scale in mixed logit models , 2017 .

[19]  Michael P. Welsh,et al.  Putting a value on injuries to natural assets: The BP oil spill , 2017, Science.

[20]  J. Herriges,et al.  Convergent Validity and the Time Consistency of Preferences: Evidence from the Iowa Lakes Recreation Demand Project , 2017, Land Economics.

[21]  Yvonne Phillips Cumulative attraction and spatial dependence in a destination choice model for beach recreation , 2016 .

[22]  N. Hanley,et al.  Valuing the benefits of improved marine environmental quality under multiple stressors. , 2016, The Science of the total environment.

[23]  K. McConnell,et al.  Densities Rather than Shares: Improving the Measurement of Congestion in Recreation Demand Models , 2015 .

[24]  Jens Abildtrup,et al.  Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation , 2015 .

[25]  J. Whitehead,et al.  A revealed preference approach to valuing non-market recreational fishing losses from the Deepwater Horizon oil spill. , 2014, Journal of environmental management.

[26]  Joseph E. Aldy,et al.  The Labor Market Impacts of the 2010 Deepwater Horizon Oil Spill and Offshore Oil Drilling Moratorium , 2014 .

[27]  John B. Loomis,et al.  International Public Preferences and Provision of Public Goods: Assessment of Passive Use Values in Large Oil Spills , 2013 .

[28]  Bruce L. Gordon,et al.  The Effect of the BP Oil Spill on Volume and Selling Prices of Oceanfront Condominiums , 2013, Land Economics.

[29]  E. Barata,et al.  Joint estimation using revealed and stated preference data: An application using a national forest , 2013 .

[30]  Y. Laurans,et al.  Use of ecosystem services economic valuation for decision making: questioning a literature blindspot. , 2013, Journal of environmental management.

[31]  John M. Rose,et al.  Can scale and coefficient heterogeneity be separated in random coefficients models? , 2012 .

[32]  P. Boxall,et al.  The Impacts of Chronic Wasting Disease and its Management on Recreational Hunters , 2012 .

[33]  D. Hensher Accounting for scale heterogeneity within and between pooled data sources , 2012 .

[34]  J. Herriges,et al.  Convergent Validity of Contingent Behavior Responses in Models of Recreation Demand , 2010 .

[35]  George Van Houtven,et al.  Combining Revealed and Stated Preference Data to Estimate the Nonmarket Value of Ecological Services: An Assessment of the State of the Science , 2008 .

[36]  J. Kahn,et al.  Willingness to accept compensation for the environmental risks of oil transport on the Amazon: A choice modeling experiment , 2008 .

[37]  Daniel J. Phaneuf,et al.  Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach , 2008 .

[38]  John M. Rose,et al.  Combining RP and SP data: biases in using the nested logit ‘trick’: contrasts with flexible mixed logit incorporating panel and scale effects , 2008 .

[39]  Daniel K. Lew,et al.  Valuing a Beach Day with a Repeated Nested Logit Model of Participation, Site Choice, and Stochastic Time Value , 2008, Marine Resource Economics.

[40]  B. Sohngen,et al.  Modeling Multiple-Objective Recreation Trips with Choices Over Trip Duration and Alternative Sites , 2006 .

[41]  J. Herriges,et al.  Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations , 2003 .

[42]  R. Kopp,et al.  Contingent Valuation and Lost Passive Use: Damages from the Exxon Valdez Oil Spill , 2003 .

[43]  P. Boxall,et al.  Valuing aboriginal artifacts: A combined revealed-stated preference approach , 2003 .

[44]  Timothy C. Haab,et al.  Valuing Environmental and Natural Resources: The Econometrics of Non-Market Valuation , 2002 .

[45]  R. Berrens,et al.  Testing the Validity of Contingent Behavior Trip Responses , 2002 .

[46]  Wiktor L. Adamowicz,et al.  Modeling Recreation Site Choice: Do Hypothetical Choices Reflect Actual Behavior? , 2001 .

[47]  George R. Parsons,et al.  Familiar and Favorite Sites in a Random Utility Model of Beach Recreation , 1999, Marine Resource Economics.

[48]  K. Train,et al.  Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level , 1998, Review of Economics and Statistics.

[49]  A. Daly,et al.  Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data , 1994 .

[50]  T. Morikawa Correcting state dependence and serial correlation in the RP/SP combined estimation method , 1994 .

[51]  J. Louviere,et al.  Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities , 1994 .

[52]  J. Louviere,et al.  The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models , 1993 .

[53]  D. Hensher,et al.  Using stated response choice data to enrich revealed preference discrete choice models , 1993 .

[54]  W. Michael Hanemann,et al.  Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses , 1984 .

[55]  K. Small,et al.  Applied Welfare Economics with Discrete Choice Models , 1979 .

[56]  Frank Lupi,et al.  Combining Revealed and Stated Preference Methods for Valuing Water Quality Changes to Great Lakes Beaches 1 , 2016 .

[57]  Rocío Domínguez Álvareza,et al.  Environmental accidents and stigmatized fish prices: Evidence from the prestige oil spill in Galicia , 2014 .

[58]  T. Haab,et al.  Assessing the Economic Benefits of Reductions in Marine Debris: A Pilot Study of Beach Recreation in Orange County, California , 2014 .

[59]  Min Chen Valuation of public Great Lakes beaches in Michigan , 2013 .

[60]  G. Parsons,et al.  Gauging the Value of Short-Term Site Closures in a Travel-Cost RUM Model of Recreation Demand With a Little Help from Stated Preference Data , 2011 .

[61]  Thomas R. Allen,et al.  Wind turbines and coastal recreation demand , 2010 .

[62]  Andrew Daly,et al.  Assuring finite moments for willingness to pay in random coefficient models , 2009 .

[63]  Søren Bøye Olsen,et al.  Handling respondent uncertainty in Choice Experiments: Evaluating recoding approaches against explicit modelling of uncertainty , 2009 .

[64]  C. Dumas Measuring the impacts of climate change on North Carolina coastal resources , 2009 .

[65]  Jennifer Murdock,et al.  Handling unobserved site characteristics in random utility models of recreation demand , 2006 .

[66]  P. Rainelli LOST RECREATION AND AMENITIES: THE ERIKA SPILL PERSPECTIVES F. BONNIEUX and P. RAINELLI , 2003 .

[67]  Robert L. Hicks,et al.  The Extent of Information: Its Relevance for Random Utility Models , 2000 .

[68]  J. Loomis PANEL ESTIMATORS TO COMBINE REVEALED AND STATED PREFERENCE DICHOTOMOUS CHOICE DATA , 1997 .

[69]  Jordan J. Louviere,et al.  Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation , 1997 .

[70]  Gregory K. Leonard,et al.  A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage , 1995 .