Journal of Forest Economics > Vol 19 > Issue 3

Joint estimation using revealed and stated preference data: An application using a national forest

Paula Simões, Department of Management and Economics, School of Technology and Management of Leiria, Polytechnic Institute of Leiria, Portugal AND GEMF-FEUC (Faculty of Economics, University of Coimbra), Portugal, paula.simoes@ipleiria.pt , Eduardo Barata, GEMF-FEUC (Faculty of Economics, University of Coimbra), Portugal, ebarata@fe.uc.pt , Luís Cruz, GEMF-FEUC (Faculty of Economics, University of Coimbra), Portugal, lmgcruz@fe.uc.pt
 
Suggested Citation
Paula Simões, Eduardo Barata and Luís Cruz (2013), "Joint estimation using revealed and stated preference data: An application using a national forest", Journal of Forest Economics: Vol. 19: No. 3, pp 249-266. http://dx.doi.org/10.1016/j.jfe.2013.03.001

Publication Date: 0/8/2013
© 0 2013 Paula Simões, Eduardo Barata, Luís Cruz
 
Subjects
 
Keywords
JEL Codes:Q26, Q51
Contingent behaviourTravel cost methodJoint estimationQuality changeForest recreation demandCount data
 

Share

Download article
In this article:
Introduction 
Research on combining the travel cost method with contingent behaviour 
Case study 
Results and discussion 
Conclusion 

Abstract

We combine contingent behaviour with travel cost data to estimate the change in the recreational use value of a National Forest due to quality and price changes. Instead of the usual improvement scenario, a hypothetical deterioration in the conditions of the forest due to a fire is considered. A dataset containing five observations for each respondent enabled the estimation of three models for which the number of scenarios differed. The results show that visitors are sensitive to price and quality changes and that in the forest fire scenario the intended number of trips would be reduced and that respondents would experience a welfare loss. Signs of inconsistency between preferences expressed by revealed and intended behaviour were found. This research also provides some indications that strategic bias affects answers to price changes.

DOI:10.1016/j.jfe.2013.03.001