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A note about model selection and tests for non-nested contingent valuation models

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  • Genius, Margarita
  • Strazzera, Elisabetta

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  • Genius, Margarita & Strazzera, Elisabetta, 2002. "A note about model selection and tests for non-nested contingent valuation models," Economics Letters, Elsevier, vol. 74(3), pages 363-370, February.
    • Handle: RePEc:eee:ecolet:v:74:y:2002:i:3:p:363-370
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    References listed on IDEAS

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    1. Sin, Chor-Yiu & White, Halbert, 1996. "Information criteria for selecting possibly misspecified parametric models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 207-225.
    2. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    3. Hashem Pesaran, M. & Pesaran, Bahram, 1993. "A simulation approach to the problem of computing Cox's statistic for testing nonnested models," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 377-392.
    4. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    5. Pesaran, M. H. & Weeks, M., 1999. "Non-nested Hypothesis Testing: An Overview," Cambridge Working Papers in Economics 9918, Faculty of Economics, University of Cambridge.
    6. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-276, May.
    7. Melvyn Weeks, "undated". "Testing Binomial and Multinomial Choice Models Using Cox's Non-Nested Test," Discussion Papers 95/45, Department of Economics, University of York.
    8. Daniel McFadden, 1994. "Contingent Valuation and Social Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 689-708.
    9. Mariano,Roberto & Schuermann,Til & Weeks,Melvyn J. (ed.), 2000. "Simulation-based Inference in Econometrics," Cambridge Books, Cambridge University Press, number 9780521591126.
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    Cited by:

    1. Luis Orea & David Roibás & Alan Wall, 2004. "Choosing the Technical Efficiency Orientation to Analyze Firms' Technology: A Model Selection Test Approach," Journal of Productivity Analysis, Springer, vol. 22(1), pages 51-71, July.
    2. repec:cup:judgdm:v:6:y:2011:i:8:p:800-813 is not listed on IDEAS
    3. Genius, Margarita & Strazzera, Elisabetta, 2011. "Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation," Resource and Energy Economics, Elsevier, vol. 33(1), pages 293-314, January.
    4. Clintin P. Davis-Stober & Nicholas Brown, 2011. "A shift in strategy or "error"? Strategy classification over multiple stochastic specifications," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 800-813, December.
    5. Wu, Hang & Bayer, Ralph-C, 2015. "Learning from inferred foregone payoffs," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 445-458.
    6. Kitthamkesorn, Songyot & Chen, Anthony, 2013. "A path-size weibit stochastic user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 378-397.
    7. Glenk, Klaus & Fischer, Anke, 2010. "Insurance, prevention or just wait and see? Public preferences for water management strategies in the context of climate change," Ecological Economics, Elsevier, vol. 69(11), pages 2279-2291, September.
    8. Emanuele Taufer & Sudip Bose & Aldo Tagliani, 2009. "Optimal predictive densities and fractional moments," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(1), pages 57-71, January.
    9. Wong, Chan-Yuan & Goh, Kim-Leng, 2010. "Growth behavior of publications and patents: A comparative study on selected Asian economies," Journal of Informetrics, Elsevier, vol. 4(4), pages 460-474.

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