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Incorporating observed choice into the construction of welfare measures from random utility models

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  1. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
  2. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
  3. von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.
  4. H. Allen Klaiber & Roger H. von Haefen, 2019. "Do Random Coefficients and Alternative Specific Constants Improve Policy Analysis? An Empirical Investigation of Model Fit and Prediction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 75-91, May.
  5. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
  6. Francisco Javier Amador & Rosa Marina González & Juan de Dios Ortúzar, 2004. "Preference heterogeneity and willingness to pay for travel time," Documentos de trabajo conjunto ULL-ULPGC 2004-12, Facultad de Ciencias Económicas de la ULPGC.
  7. Sinha, Paramita & Caulkins, Martha L. & Cropper, Maureen L., 2018. "Household location decisions and the value of climate amenities," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 608-637.
  8. Cristiano Franceschinis & Riccardo Scarpa & Mara Thiene & John Rose & Michele Moretto & Raffaele Cavalli, 2016. "Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems," Energies, MDPI, vol. 9(6), pages 1-19, May.
  9. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.
  10. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
  11. Min Qiang Zhao & Ju-Chin Huang, 2018. "The Representative Consumer Approximation Bias in Discrete Choice Welfare Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 969-984, December.
  12. Wenquan Liang & Ran Song & Christopher Timmins, 2020. "Frictional Sorting," NBER Working Papers 27643, National Bureau of Economic Research, Inc.
  13. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
  14. Boeri, Marco & Scarpa, Riccardo & Chorus, Caspar G., 2014. "Stated choices and benefit estimates in the context of traffic calming schemes: Utility maximization, regret minimization, or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 121-135.
  15. 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.
  16. Lea Nicita & W. Douglass Shaw & Giovanni Signorello, 2018. "Valuing the Benefits of Rock Climbing and the Welfare Gains from Decreasing Injury Risk," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2258-2274, November.
  17. De Borger, Bruno & Mayeres, Inge, 2007. "Optimal taxation of car ownership, car use and public transport: Insights derived from a discrete choice numerical optimization model," European Economic Review, Elsevier, vol. 51(5), pages 1177-1204, July.
  18. Kuriyama, Koichi & Michael Hanemann, W. & Hilger, James R., 2010. "A latent segmentation approach to a Kuhn-Tucker model: An application to recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 209-220, November.
  19. John A. Downing, 2009. "Valuing Water Quality as a Function of Water Quality Measures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 106-123.
  20. de Jong, Gerard & Daly, Andrew & Pieters, Marits & van der Hoorn, Toon, 2007. "The logsum as an evaluation measure: Review of the literature and new results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 874-889, November.
  21. Egan, Kevin J. & Herriges, Joseph A. & Kling, Catherine L. & Downing, John A., 2004. "Recreation Demand Using Physical Measures Of Water Quality," 2004 Annual meeting, August 1-4, Denver, CO 19958, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  22. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
  23. von Haefen, Roger H., 2007. "Empirical strategies for incorporating weak complementarity into consumer demand models," Journal of Environmental Economics and Management, Elsevier, vol. 54(1), pages 15-31, July.
  24. A. de Palma & K. Kilani, 2003. "Compensating Variation for Discrete Choice Models," THEMA Working Papers 2003-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  25. Caputo, Vincenzina & Nayga, Rodolfo M. Jr. & Scarpa, Riccardo, 2013. "Food miles or carbon emissions? Exploring labelling preference for food transport footprint with a stated choice study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-18.
  26. 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).
  27. Cropper, Maureen L. & Isaac, William, 2011. "The Benefits of Achieving the Chesapeake Bay TMDLs (Total Maximum Daily Loads): A Scoping Study," RFF Working Paper Series dp-11-31, Resources for the Future.
  28. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
  29. Melstrom, Richard & Lupi, Frank, 2012. "Using a Control Function to Resolve the Travel Cost Endogeneity Problem in Recreation Demand Models," MPRA Paper 48036, University Library of Munich, Germany, revised May 2013.
  30. Aaron Strong & V. Kerry Smith, 2010. "Reconsidering the Economics of Demand Analysis with Kinked Budget Constraints," Land Economics, University of Wisconsin Press, vol. 86(1), pages 173-190.
  31. von Haefen, Roger H. & Adamowicz, Wiktor L., 2003. "Not Playing The Game: Non-Particpation In Repeated Discrete Choice Models," 2003 Annual meeting, July 27-30, Montreal, Canada 22037, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  32. Aravena, Claudia & Martinsson, Peter & Scarpa, Riccardo, 2014. "Does money talk? — The effect of a monetary attribute on the marginal values in a choice experiment," Energy Economics, Elsevier, vol. 44(C), pages 483-491.
  33. Delle Site, Paolo & Salucci, Marco Valerio, 2013. "Transition choice probabilities and welfare analysis in random utility models with imperfect before–after correlation," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 215-242.
  34. Hocheol Jeon & Joseph A. Herriges, 2017. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1053-1086, December.
  35. Schueftan, Alejandra & Aravena, Claudia & Reyes, René, 2021. "Financing energy efficiency retrofits in Chilean households: The role of financial instruments, savings and uncertainty in energy transition," Resource and Energy Economics, Elsevier, vol. 66(C).
  36. Carol Mansfield & Daniel J. Phaneuf & F. Reed Johnson & Jui-Chen Yang & Robert Beach, 2008. "Preferences for Public Lands Management under Competing Uses: The Case of Yellowstone National Park," Land Economics, University of Wisconsin Press, vol. 84(2), pages 282-305.
  37. André de Palma & Karim Kilani, 2009. "Transition choice probabilities and welfare in ARUM's," Working Papers hal-00417493, HAL.
  38. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
  39. Yao, Richard T. & Scarpa, Riccardo & Turner, James A. & Barnard, Tim D. & Rose, John M. & Palma, João H.N. & Harrison, Duncan R., 2014. "Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay," Ecological Economics, Elsevier, vol. 98(C), pages 90-101.
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