IDEAS home Printed from https://ideas.repec.org/r/oup/ajagec/v80y1998i3p512-520.html
   My bibliography  Save this item

Environmental Quality Preference and Benefit Estimation in Multinomial Probit Models: A Simulation Approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Black, Andrew & Colombo, Sergio & Hanley, Nick & Tinch, Dugald & Aftab, Ashar & Bergmann, E. Ariel, 2006. "Transferring the Benefits of Water Quality Enhancements in Small Catchments," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25790, International Association of Agricultural Economists.
  2. Jakus, Paul M & Shaw, W Douglass, 2003. "Perceived Hazard and Product Choice: An Application to Recreational Site Choice," Journal of Risk and Uncertainty, Springer, vol. 26(1), pages 77-92, January.
  3. Termansen, Mette & Zandersen, Marianne & McClean, Colin J., 2008. "Spatial substitution patterns in forest recreation," Regional Science and Urban Economics, Elsevier, vol. 38(1), pages 81-97, January.
  4. F Alpizar & F Carlsson & P Martinsson, 2003. "Using Choice Experiments for Non-Market Valuation," Economic Issues Journal Articles, Economic Issues, vol. 8(1), pages 83-110, March.
  5. Breffle, William S. & Morey, Edward R. & Waldman, Donald M., 2000. "Combining Sources of Data in the Estimation of Consumer Preferences: Estimating Damages to Anglers from Environmental Injuries," Western Region Archives 321671, Western Region - Western Extension Directors Association (WEDA).
  6. Julien Salanié & Yves Surry & Philippe Le Goffe & . Inra & . Région Bretagne & . Agrocampus-Ouest & . Métropole de Rennes, 2004. "Measuring agricultural and congestion externalities in recreational fisheries : The case of salmon in France," Post-Print hal-02831528, HAL.
  7. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
  8. Rocchi, L. & Cortina, C. & Paolotti, L. & Massei, G. & Fagioli, F.F. & Antegiovanni, P. & Boggia, A., 2019. "Provision of ecosystem services from the management of Natura 2000 sites in Umbria (Italy): Comparing the costs and benefits, using choice experiment," Land Use Policy, Elsevier, vol. 81(C), pages 13-20.
  9. Jakus, Paul M. & McGuinness, Meghan & Krupnick, Alan J., 2002. "The Benefits and Costs of Fish Consumption Advisories for Mercury," Discussion Papers 10853, Resources for the Future.
  10. Zhenshan Chen & Stephen K. Swallow & Ian T. Yue, 2020. "Non-participation and Heterogeneity in Stated: A Double Hurdle Latent Class Approach for Climate Change Adaptation Plans and Ecosystem Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(1), pages 35-67, September.
  11. Kim, Sooil & Haab, Timothy C., 2005. "Generalized Estimation Methods for Non-i.i.d. Binary Data: An Application to Dichotomous Choice Contingent Valuation," 2005 Annual meeting, July 24-27, Providence, RI 19138, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  12. Klaus Moeltner & David F. Layton, 2002. "A Censored Random Coefficients Model For Pooled Survey Data With Application To The Estimation Of Power Outage Costs," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 552-561, August.
  13. Carlos Arias & THOMAS L. COX, 1999. "Maximum Simulated Likelihood: A Brief Introduction for Practitioners," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 421, Wisconsin-Madison Agricultural and Applied Economics Department.
  14. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
  15. Novikova, Anastasija & Rocchi, Lucia & Vitunskienė, Vlada, 2017. "Assessing the benefit of the agroecosystem services: Lithuanian preferences using a latent class approach," Land Use Policy, Elsevier, vol. 68(C), pages 277-286.
  16. Fleischer, Aliza & Sternberg, Marcelo, 2006. "The economic impact of global climate change on Mediterranean rangeland ecosystems: A Space-for-Time approach," Ecological Economics, Elsevier, vol. 59(3), pages 287-295, September.
  17. Provencher, Bill & Bishop, R.C.Richard C., 2004. "Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 793-810, July.
  18. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
  19. Fleischer, Aliza & Shafir, Sharoni & Mandelik, Yael, 2013. "A proactive approach for assessing alternative management programs for an invasive alien pollinator species," Ecological Economics, Elsevier, vol. 88(C), pages 126-132.
  20. Kataria, Mitesh, 2009. "Willingness to pay for environmental improvements in hydropower regulated rivers," Energy Economics, Elsevier, vol. 31(1), pages 69-76, January.
  21. Lucia Rocchi & Anastasija Novikova & Bernardas Vaznonis, 2022. "Assessing Consumer Preferences and Willingness to Pay for Agricultural Landscape Attributes in Lithuania," Land, MDPI, vol. 11(10), pages 1-15, September.
  22. Arias, Carlos & Cox, Thomas L., 1999. "Maximum Simulated Likelihood: A Brief Introduction For Practitioners," Staff Papers 12662, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
  23. Rocchi, L. & Campioni, R. & Brunori, A. & Mariano, E., 2023. "Environmental certification of woody charcoal: A choice experiments application," Forest Policy and Economics, Elsevier, vol. 154(C).
  24. Siikamaki, Juha & Layton, David F., 2006. "Discrete Choice Survey Experiments: A Comparison Using Flexible Models," RFF Working Paper Series dp-05-60, Resources for the Future.
  25. Wuyang Hu & Michele M. Veeman & Wiktor L. Adamowicz, 2005. "Labelling Genetically Modified Food: Heterogeneous Consumer Preferences and the Value of Information," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 53(1), pages 83-102, March.
  26. Douglas J. MacNair & William H. Desvousges, 2007. "The Economics of Fish Consumption Advisories: Insights from Revealed and Stated Preference Data," Land Economics, University of Wisconsin Press, vol. 83(4), pages 600-616.
  27. Chi-Ok Oh & Seong Ok Lyu & Stephen M. Holland, 2012. "Understanding Tourists' Preferences for Boat Fishing Trips," Tourism Economics, , vol. 18(2), pages 413-429, April.
  28. Kurt E. Schnier & Ronald G. Felthoven, 2011. "Accounting for Spatial Heterogeneity and Autocorrelation in Spatial Discrete Choice Models: Implications for Behavioral Predictions," Land Economics, University of Wisconsin Press, vol. 87(3), pages 382-402.
  29. Moore, Rebecca, 2008. "Using Attitudes to Characterize Heterogeneous Preferences," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6488, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  30. Englin, Jeffrey E. & McDonald, Jered M. & Moeltner, Klaus, 2006. "Valuing ancient forest ecosystems: An analysis of backcountry hiking in Jasper National Park," Ecological Economics, Elsevier, vol. 57(4), pages 665-678, June.
  31. Layton, David F., 2000. "Random Coefficient Models for Stated Preference Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 21-36, July.
  32. Darla Hatton MacDonald & Mark Morrison & Mary Barnes, 2010. "Willingness to Pay and Willingness to Accept Compensation for Changes in Urban Water Customer Service Standards," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3145-3158, September.
  33. Nahuelhual, Laura & Loureiro, Maria L. & Loomis, John B., 2004. "Using Random Parameters to Account for Heterogeneous Preferences in Contingent Valuation of Public Open Space," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-16, December.
  34. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
  35. Carlsson, Fredrik & Frykblom, Peter & Liljenstolpe, Carolina, 2003. "Valuing wetland attributes: an application of choice experiments," Ecological Economics, Elsevier, vol. 47(1), pages 95-103, November.
  36. David S. Bullock & Klaus Salhofer & Jukka Kola, 1999. "The Normative Analysis of Agricultural Policy: A General Framework and Review," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 512-535, September.
  37. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
  38. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
  39. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
  40. Termansen, Mette & McClean, Colin J. & Jensen, Frank Søndergaard, 2013. "Modelling and mapping spatial heterogeneity in forest recreation services," Ecological Economics, Elsevier, vol. 92(C), pages 48-57.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.