Using Stated-Preference Questions to Investigate Variations in Willingness to Pay for Preserving Marble Monuments: Classic Heterogeneity, Random Parameters, and Mixture Models
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This paper investigates heterogeneity in the preferences/WTP (willingness to pay) to preserve marble monuments in Washington, D.C. This is done in the context of three different discrete-choice random-utility models. The main focus is to estimate a mixture model of choices over preservation programs. This model captures the best features of random-parameters models and models that assume preference parameters are deterministic functions of observable characteristics of the individual. The mixture model, and it alone, predicts that increased preservation is a bad for a significant proportion of young, non-Caucasians. That some proportion of the population might consider preservation a bad is a contingency that should be planned for in efforts to value cultural resources. Data and computer code are available athttp://www.colorado.edu/economics/morey/dataset.html.
- Adamowicz, W., Boxall, P., Williams, M., and Louviere, J. (1996) “Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments versus Contingent Valuation”. Working Paper.
- Ben-Akiva, M., Lerman, S. (1985) iscrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press, Cambridge, MA
- Bartholomew, D.J. and Knott, M. (1999) Latent Class Models and Factor Analysis. Oxford University Press.
- Breffle, W.S., Morey, E.R. (2000) Investigating Preference Heterogeneity in a Repeated Discrete-Choice Recreation Demand Model of Atlantic Salmon Fishing. Marine Resource Economics 15: pp. 1-20
- Brownstone, D., Train, K. (1999) Forecasting New Product Penetration with Flexible Substitution Patterns. Journal of Econometrics 89: pp. 109-129
- Johnson, F., Desvousges, W. (1997) Estimating Stated Preferences with Rated-Pair Data: Environmental, Health, and Employment Effects of Energy Programs. Journal of Environmental Planning and Management 34: pp. 79-99
- Layton, D.F., Brown, G. (2000) Heterogeneous Preferences Regarding Global Climate Change. The Review of Economics and Statistics 824: pp. 616-624
- Lee, L. (1992) On Efficiency of Methods of Simulated Moments and Maximum Simulated Maximum Estimation of Discrete Response Models. Econometrica 8: pp. 518-552
- McFadden, D., Ruud, P. (1994) Estimation by Simulation. The Review of Economics and Statistics 76: pp. 591-608
- Morey, E.R. and Rossmann, K.G., Chestnut, L., and Ragland, S. (1997) “Valuing Acid Deposition Injuries to Cultural Resources”. Prepared for National Acid Precipitation Assessment Program.
- Morey, E.R. and Rossmann K.G. (2003) “Calculating, with Varying Types of Income Effects, Closed-Form Solutions for the Compensating Variation Associated with a Change in the State of the World”. Discussion paper at http://www.colorado.edu/economics/morey/discuss.html.
- Morey, E.R. and Rossmann, K.G., Chestnut, L., and Ragland, S. (2002) “Modeling and Estimating E[WTP] for Reducing Acid Deposition Injuries to Cultural Resources: Using Choice Experiments in a Group Setting to Estimate Passive-Use Values”, in Stale Narvud and Richard Ready (eds.), Valuing Cultural Resources. Edward Elgar Publishing.
- Morey, E.R., Sharma, V.R., Karlstrom, A. (2003) A Simple Method of Incorporating Income Effects into Logit and Nested-Logit Models: Theory and Application. American Journal of Agricultural Economics 85: pp. 250-255
- Revelt, D., Train, K. (1998) Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level. Review of Economics and Statistics 80: pp. 647-657
- Roe, B., Boyle, K.J., Teisl, M.F. (1996) Using Conjoint Analysis to Derive Estimates of Compensating Variation. Journal of Environmental Economics and Management 31: pp. 145-150
- Stevens, T.H., Barrett, C., and Willis, C.E. (1997) “Conjoint Analysis of Groundwater Protection Programs”. Agricultural and Resource Economics Review October, 229–236.
- Swait, J., Adamowicz, W., and Louviere, J. (1998) “Attribute-Based Stated Choice Methods for Resource Compensation: An Application to Oil Spill Damage Assessment”. Prepared for presentation at the Natural Resources Trustee Workshop on Applications of Stated-Preference Methods to Resource Compensation, Washington, D.C., June 1–2, 1998.
- Titterington, D.M., Smith, A.F.M., and Makov, U.E. (1985) Statistical Analysis of Finite Mixture Distribution. John Wiley and Sons.
- Train, K.E. (1998) Recreation Demand Models with Taste Differences over People. Land Economics 74: pp. 230-239
- Train, K.E. (2003) Discrete Choice Methods with Simulation. Cambridge University Press.
- Wedel, M. and Kamakura, W. (2000) Market Segmentation: Conceptual and Methodological Foundations (second edition). Kluwer Academic Publishers.
- Using Stated-Preference Questions to Investigate Variations in Willingness to Pay for Preserving Marble Monuments: Classic Heterogeneity, Random Parameters, and Mixture Models
Journal of Cultural Economics
Volume 27, Issue 3-4 , pp 215-229
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- choice experiments
- mixture models
- preference heterogeneity
- random parameters
- Industry Sectors