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Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements Author info | Abstract | Publisher info | Download info | Related research | Statistics Campbell, Danny
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This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness to pay values for every individual in the sample. This departs from customary approaches in which the willingness to pay estimates are normally expressed as measures of central tendency of an a priori distribution. In a different vein from analysis conducted in previous discrete choice experiment studies, this paper uses random effects models for panel data to identify the determinants of the individual-specific willingness to pay estimates. In comparison with the standard methods used to incorporate individual-specific variables into the analysis of discrete choice experiments, the analytical approach outlined in this paper is shown to add considerably more validity and explanatory power to welfare estimates
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Paper provided by Agricultural Economics Society in its series 81st Annual Conference, April 2-4, 2007, Reading University with number
7975.
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Date of creation: 2007Date of revision:
Handle: RePEc:ags:aes007:7975Contact details of provider: Email: Web page: http://www.aes.ac.uk/ More information through EDIRC
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Keywords: Agri-environment ; discrete choice experiments ; mixed logit ; panel data ; random effects ; willingness to pay ; Demand and Price Analysis ; Environmental Economics and Policy ; C33 ; C35 ; Q24 ; Q51 ; This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Kenneth E. Train, 1998.
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"Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model ,"
Transportation Research Part B: Methodological ,
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Bhat, Chandra R., 2003.
"Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences ,"
Transportation Research Part B: Methodological ,
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Train, K. & Weeks, M., 2004.
"Discrete Choice Models in Preference Space and Willingness-to Pay Space ,"
Cambridge Working Papers in Economics
0443, Faculty of Economics, University of Cambridge.
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Greene, William H. & Hensher, David A. & Rose, John, 2006.
"Accounting for heterogeneity in the variance of unobserved effects in mixed logit models ,"
Transportation Research Part B: Methodological ,
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Daniel McFadden & Kenneth Train, 2000.
"Mixed MNL models for discrete response ,"
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Foster, Vivien & Mourato, Susana, 2002.
"Testing for Consistency in Contingent Ranking Experiments ,"
Journal of Environmental Economics and Management ,
Elsevier, vol. 44(2), pages 309-328, September.
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Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007.
"Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment ,"
Land Economics ,
University of Wisconsin Press, vol. 83(4), pages 617-634.
[Downloadable!] (restricted)
Mauricio Sillano & Juan de Dios Ortúzar, 2005.
"Willingness-to-pay estimation with mixed logit models: some new evidence ,"
Environment and Planning A ,
Pion Ltd, London, vol. 37(3), pages 525-550, March.
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