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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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Abstract

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.

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References

  • 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. and Lerman, S. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press, Cambridge, MA.

    Google Scholar 

  • Bartholomew, D.J. and Knott, M. (1999) Latent Class Models and Factor Analysis. Oxford University Press.

  • Breffle, W.S. and Morey, E.R. (2000) “Investigating Preference Heterogeneity in a Repeated Discrete-Choice Recreation Demand Model of Atlantic Salmon Fishing”. Marine Resource Economics 15: 1–20.

    Google Scholar 

  • Brownstone, D. and Train, K. (1999) “Forecasting New Product Penetration with Flexible Substitution Patterns”. Journal of Econometrics 89: 109–129.

    Google Scholar 

  • Johnson, F. and 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: 79–99.

    Google Scholar 

  • Layton, D.F. and Brown, G. (2000) “Heterogeneous Preferences Regarding Global Climate Change”. The Review of Economics and Statistics 82 (4): 616–624.

    Google Scholar 

  • Lee, L. (1992) “On Efficiency of Methods of Simulated Moments and Maximum Simulated Maximum Estimation of Discrete Response Models”. Econometrica 8: 518–552.

    Google Scholar 

  • McFadden, D. and Ruud, P. (1994) “Estimation by Simulation”. The Review of Economics and Statistics 76: 591–608.

    Google Scholar 

  • 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., and 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(1): 250–255.

    Google Scholar 

  • Revelt, D. and Train, K. (1998) “Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level”. Review of Economics and Statistics 80(4): 647–657.

    Google Scholar 

  • Roe, B. and Boyle, K.J., Teisl, M.F. (1996) “Using Conjoint Analysis to Derive Estimates of Compensating Variation”. Journal of Environmental Economics and Management 31: 145–150.

    Google Scholar 

  • 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(2): 230–239.

    Google Scholar 

  • 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.

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Morey, E., Greer Rossmann, K. 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 27, 215–229 (2003). https://doi.org/10.1023/A:1026365125898

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