On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming

Journal of Forest Economics

Volumn 16, Issue 2, 2010, Pages 145-156

  Álvarez Díaz, Marcos ^a   González Gómez, Manuel ^a   Saavedra González, Ángeles ^a   De Uña Álvarez, Jacobo ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

Dichotomous choice contingent valuation; Genetic program; Parametric techniques; Proportional hazard model

Indexed keywords

ECONOMICS; GENETIC ALGORITHMS; HAZARDS;

CONTINGENT VALUATIONS; DICHOTOMOUS CHOICE CONTINGENT VALUATION; ENVIRONMENTAL CONDITIONS; GENETIC PROGRAMS; PARAMETRIC METHOD; PARAMETRIC TECHNIQUES; PROPORTIONAL HAZARD MODELS; WILLINGNESS TO PAY;

GENETIC PROGRAMMING;

ALGORITHM; CONTINGENT VALUATION; DATA MANAGEMENT; ENVIRONMENTAL CONDITIONS; WILLINGNESS TO PAY;

SPAIN;

EID: 77950021985     PISSN: 11046899     EISSN: 16181530     Source Type: Journal    
DOI: 10.1016/j.jfe.2009.02.002     Document Type: Article

References (41)

1. Alberini A., Hunt A., Markandya A WTP to reduce mortality risks: evidence from a three-country contingent valuation study. Environmental and Resource Economics 2006, 33:251-264.
2. Álvarez A., Orfila A., Tintore J. DARWIN-an evolutionary program for nonlinear modeling of chaotic time series. Computer Physics Communications 2001, 136:334-349.
3. Álvarez-Díaz M., Álvarez A. Genetic multi-model composite forecast for non-linear forecasting of exchange rates. Empirical Economics 2005, 30(3):643-663.
4. Álvarez-Díaz M., Caballero G. The quality of institutions: a Genetic Programming approach. Economic Modelling 2008, 25:161-169.
5. An M.Y. A semiparametric distribution for willingness to pay and statistical inference with dichotomous choice contingent valuation data. American Journal of Agricultural Economics 2000, 82:487-500.
6. Araña J.E., León C.L. Flexible mixture distribution modelling of dichotomous choice contingent valuation with heterogeneity. Journal of Environmental Economics and Management 2005, 50:170-188.
7. Arrow, K., Solow, R., Portney, P.R., Leamer, E.E., Radner, R. and Schuman, H. (1993). Report of the NOAA Panel on Contingent Valuation. Report to the General Counsel of the US National Oceanic and Atmospheric Administration: Federal Register, vol. 58(10), pp. 4601-4614.
8. Beenstock M., Szpiro G. Specification search in nonlinear time-series models using the genetic algorithm. Journal of Economics Dynamics & Control 2002, 26:811-835.
9. Bishop R.C., Heberlein T.A. Measuring values of extra-market goods: are indirect measures biased?. American Journal of Agricultural Economics 1979, 61(1):926-930.
10. Cameron T.A. A new paradigm for valuing non-market goods using referendum data: maximum likelihood estimation by censored logistic regression. Journal of Environmental Economics and Management 1988, 15(170-188):355-379.
11. Carson R.T., 1999. Contingent Valuation: A User's Guide, Discussion Paper, no. 99-26, University of California at San Diego.
12. Chen H., Randall A. Semi-nonparametric estimation of binary response models with an application to natural resource valuation. Journal of Econometrics 1997, 76:323-340.
13. Cooper J.C. Flexible functional form estimation of willingness to pay using dichotomous choice data. Journal of Environmental Economics and Management 2002, 43:267-279.
14. Creel M. A note on consistent estimation of mean WTP using a misspecified logit contingent valuation model. Journal of Environmental Economics and Management 1998, 35(3):277-284.
15. Creel M., Loomis J. Semi-nonparametric, distribution-free dichotomous choice contingent valuation. Journal of Environmental Economics and Management 1997, 32:341-358.
16. Crooker J.R., Herriges J.A. Parametric and semi-nonparametric estimation of willingness-to-pay in the dichotomous choice contingent valuation framework. Environmental and Resource Economics 2004, 27:451-480.
17. Efron B., Tibshirani R. An Introduction to the Bootstrap. Monographs on Statistics and Applied Probability 1993, vol. 57. Chapman & Hall/CRC.
18. Freeman A.M. The Measurement of Environmental and Resource Values: Theory and Methods 1993, Resources for the Futures, Washington, DC.
19. Garrod, Willis Economic Valuation of the Environment: Methods and Case Studies 1999, Edward Elgar Publishing Limited, Cheltenham, UK.
20. Giraud K.L., Loomis J.B., Cooper J.C. A comparison of willingness to pay estimation techniques from referendum questions. Environmental and Resource Economics 2001, 20:331-346.
21. Golan A., Judge G., Perloff J. A maximum entropy approach to recovering information from multinomial response data. Journal of the American Statistical Association 1996, 91:841-853.
22. Hanemann W.M. Welfare evaluations in contingent valuation experiments with discrete responses. American Journal of Agricultural Economics 1984, 66:332-341.
23. Hanemann W.M., Kanninen B. The statistical analysis of discrete-response CV data. Valuing Environmental Preference 1999, 302-441. Oxford University Press, New York. I. Bateman, K. Willis (Eds.).
24. Horowitz J.L. Semiparametric and nonpametric estimation of quantal response model. Handbook of Statistics 1993, vol. 11. Elsevier.
25. Johansson P-O., Kriström B., Mäler K.G. Welfare evaluations in contingent valaution experiments with discrete response data: comment. American Journal of Agricultural Economics 1989, 71:1054-1056.
26. Koza J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection 1992, The MIT Press, Cambridge.
27. Kriström B. Comparing continuous and discrete contingnent valuation questions. Environmental and Resource Economics 1993, 3.
28. Kriström B. A non-parametric approach to the estimation of welfare measures in discrete response valuation studies. Land Economics 1990, 66:135-139.
29. Layton, D. F., and Moeltner, K., 2002. The cost of power outages to heterogeneous households-an application of the mixed gamma-lognormal distribution. Paper presented at the W-l33 Annual Meeting: Benefits and Costs of Resource Policies Affecting Public and Private Land, Monterey, CA.
30. Li C.Z. Semiparametric estimation of the binary choice model for contingent valuation. Land Economics 1996, 72:462-473.
31. Mitchell M. An Introduction to Genetic Algorithms 2001, MIT Press, Cambridge, MA, London, England.
32. Mitchell R.C., Carson R.T. Using Surveys to Value Public Goods: The Contingent Valuation Method 1989, Resources for the Future, Washington, DC.
33. Mitchell R.C., Carson R.T. Current Issues in the Design, Administration and Analysis of Contingent Valuation Economics 1995, Manchester University Press, Manchester.
34. Pelikan M., 2002. Bayesian optimization algorithm: from single level to hierarchy. Ph.D. Thesis, University of Illinois at Urbana-Champaign.
35. Ready R.C., Hu D. Statistical approaches to the fat tail problem for dichotomous choice contingent valuation. Land Economics 1995, 71(4):491-499.
36. Sanz J.A., Herrero L.C., Bedate A.M. Contingent valuation and semiparametric methods: a case study of the National Museum of Sculpture in Valladolid, Spain. Journal of Cultural Economics 2003, 27:241-257.
37. Shao J., Tu D. The Jackknife and Bootstrap 1995, Springer-Verlag.
38. Szpiro G.G. Forecasting chaotic time series with genetic algorithm. Physical Review E 1997, 55(3):2557-2568.
39. Werner M. Allowing for zeros in dichotomous-choice contingent-valuation models. Journal of Business & Economic Statistics 1999, 17:479-486.
40. Yadavalli V.K, Dahule R.K., Tambe S.S., Kulkarni B.D. Obtaining Functional Form for Chaotic Time Series Evolution using Genetic Algorithm 1999, 9. American Institute of Physics, pp. 789-794.
41. Zheng, C. (1997. ModGA: A Modular Genetic Algorithm Based Flow and Transport Optimization Model for MODFLOW and MT3D. Report to DuPont Chemical.