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A censored random coefficients model for the detection of zero willingness to pay

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  • Johannes Reichl
  • Sylvia Frühwirth-Schnatter

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  • Johannes Reichl & Sylvia Frühwirth-Schnatter, 2012. "A censored random coefficients model for the detection of zero willingness to pay," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 259-281, June.
  • Handle: RePEc:kap:qmktec:v:10:y:2012:i:2:p:259-281
    DOI: 10.1007/s11129-011-9115-2
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    1. Peter E. Rossi & Robert E. McCulloch & Greg M. Allenby, 1996. "The Value of Purchase History Data in Target Marketing," Marketing Science, INFORMS, vol. 15(4), pages 321-340.
    2. Haab, Timothy C. & McConnell, Kenneth E., 1997. "Referendum Models and Negative Willingness to Pay: Alternative Solutions," Journal of Environmental Economics and Management, Elsevier, vol. 32(2), pages 251-270, February.
    3. Franz Hackl & Gerald Pruckner, 1999. "On the gap between payment card and closed-ended CVM-answers," Applied Economics, Taylor & Francis Journals, vol. 31(6), pages 733-742.
    4. 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.
    5. Nick Hanley & Sergio Colombo & Bengt Kriström & Fiona Watson, 2009. "Accounting for Negative, Zero and Positive Willingness to Pay for Landscape Change in a National Park," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 1-16, February.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    7. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
    8. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    9. Carlsson, Fredrik & Martinsson, Peter, 2008. "Does it matter when a power outage occurs? -- A choice experiment study on the willingness to pay to avoid power outages," Energy Economics, Elsevier, vol. 30(3), pages 1232-1245, May.
    10. Layton, David F. & Levine, Richard A., 2003. "How Much Does the Far Future Matter? A Hierarchical Bayesian Analysis of the Public's Willingness to Mitigate Ecological Impacts of Climate Change," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 533-544, January.
    11. Imai, Kosuke & van Dyk, David A., 2005. "A Bayesian analysis of the multinomial probit model using marginal data augmentation," Journal of Econometrics, Elsevier, vol. 124(2), pages 311-334, February.
    12. Werner, Megan, 1999. "Allowing for Zeros in Dichotomous-Choice Contingent-Valuation Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 479-486, October.
    13. Sandeep R. Chandukala & Yancy D. Edwards & Greg M. Allenby, 2011. "Identifying Unmet Demand," Marketing Science, INFORMS, vol. 30(1), pages 61-73, 01-02.
    14. David F. Layton & Gardner Brown, 2000. "Heterogeneous Preferences Regarding Global Climate Change," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 616-624, November.
    15. Jorge Cornick & Thomas L. Cox & Brian W. Gould, 1994. "Fluid Milk Purchases: A Multivariate Tobit Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 74-82.
    16. Carson, R.T. & Mitchell, R.C. & Hanemann, W.M. & Kopp, R.J. & Presser, S. & Ruud, P.A., 1992. "A Contingent Valuation Study of Lost Passive Use Values Resulting From the Exxon Valdez Oil Spill," MPRA Paper 6984, University Library of Munich, Germany.
    17. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 313-331, September.
    18. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    19. Duncan Fong & Wayne DeSarbo, 2007. "A Bayesian methodology for simultaneously detecting and estimating regime change points and variable selection in multiple regression models for marketing research," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 427-453, December.
    20. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
    21. Daniel McFadden, 1996. "Computing Willingness-to-Pay in Random Utility Models," Working Papers _011, University of California at Berkeley, Econometrics Laboratory Software Archive.
    22. Alok Bohara & Joe Kerkvliet & Robert Berrens, 2001. "Addressing Negative Willingness to Pay in Dichotomous Choice Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 173-195, November.
    23. Beenstock, Michael & Goldin, Ephraim & Haitovsky, Yoel, 1998. "Response bias in a conjoint analysis of power outages," Energy Economics, Elsevier, vol. 20(2), pages 135-156, April.
    24. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
    25. Fruhwirth-Schnatter, Sylvia & Tuchler, Regina & Otter, Thomas, 2004. "Bayesian Analysis of the Heterogeneity Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 2-15, January.
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    Cited by:

    1. Reichl, Johannes & Schmidthaler, Michael & Schneider, Friedrich, 2013. "The value of supply security: The costs of power outages to Austrian households, firms and the public sector," Energy Economics, Elsevier, vol. 36(C), pages 256-261.
    2. Nkosi, Nomsa Phindile & Dikgang, Johane, 2018. "Pricing electricity blackouts among South African households," Journal of Commodity Markets, Elsevier, vol. 11(C), pages 37-47.

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    More about this item

    Keywords

    Willingness to pay; Censored random coefficients; Bayesian inference; C11; Q51;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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