252 
Fishery Bulletin 1 12(4) 
Horizons in Environmental Economics. Edward Elgar 
Publ., Northampton, MA. 
Hindsley, P., C. E. Landry, and B. Gentner. 
2011. Addressing onsite sampling in recreation site 
choice models. J. Environ. Econ. Manage. 62:95-110. 
Kuriyama, K., J. Hilger, and M. Hanemann. 
2013. A random parameter model with onsite sampling 
for recreation site choice: an application to Southern 
California shoreline sportfishing. Environ. Resour. 
Econ. 56:481-497. 
Johnston, R. J., M. H. Ranson, E. Y. Besedin, and E. C. Helm. 
2006. What determines willingness to pay per fish? A 
meta-analysis of recreational fishing values. Mar. Re- 
sour. Econ. 21:1-32. 
Krinsky, I., and A. L. Robb. 
1986. On approximating the statistical properties of 
elasticities. Rev. Econ. Stat. 68:715-719. 
Lerman, S. R., and C. F. Manski. 
1981. On the use of simulated frequencies to approxi- 
mate choice probabilities. In Structural analysis of 
discrete data with econometric applications (C. F. Man- 
ski and D. McFadden, eds.), p. 305-319. MIT Press, 
Cambridge, MA. 
Manski, C. F., and S. R. Lerman. 
1977. The estimation of choice probabilities from choice 
based samples. Econometrica 45:1977-1988. 
McFadden, D. 
1974. Conditional logit analysis of qualitative choice be- 
havior. In Frontiers in econometrics (P. Zarembka ed.), 
p. 105-142. Academic Press, New York. 
NRC (National Research Council). 
2006. Review of recreational fisheries survey methods, 
202 p. National Academies Press, Washington, D.C. 
Parsons, G. R., and M. S. Needelman. 
1992. Site aggregation in a random utility model of rec- 
reation. Land Econ. 68:418-443. 
Poe G. L., K. L. Giraud, and J. B. Loomis. 
2005. Computational methods for measuring the differ- 
ence of empirical distributions. Am. J. Agric. Econ. 87: 
353-365. 
R Core Team. 
2013. R: a language and environment for statistical 
computing. R Foundation for Statistical Computing, 
Vienna, Austria. [Available from http://www.r-project. 
org, accessed May 2013.] 
Thomson, C. J. 
1991. Effects of avidity bias on survey estimates of fish- 
ing effort and economic value. Am. Fish. Soc. Symp. 
12:356-366 
Whitehead, J. C., and T. C. Haab. 
2000. Southeast marine recreational fishery statistical 
survey: distance and catch based choice sets. Mar. Re- 
sour. Econ. 14:283-299. 
