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An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs

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  • Kessels, Roselinde
  • Jones, Bradley
  • Goos, Peter
  • Vandebroek, Martina

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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 27 (2009)
Issue (Month): 2 ()
Pages: 279-291

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Handle: RePEc:bes:jnlbes:v:27:i:2:y:2009:p:279-291

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Cited by:
  1. Aiste Ruseckaite & Peter Goos & Dennis Fok, 2014. "Bayesian D-Optimal Choice Designs for Mixtures," Tinbergen Institute Discussion Papers 14-057/III, Tinbergen Institute.
  2. Richard G. Newell & Juha V. Siikamäki, 2013. "Nudging Energy Efficiency Behavior: The Role of Information Labels," NBER Working Papers 19224, National Bureau of Economic Research, Inc.
  3. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
  4. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
  5. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
  6. VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.
  7. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
  8. Sanko, Nobuhiro & Yamamoto, Toshiyuki, 2013. "Estimation efficiency of RP/SP models considering SP design and error structures," Journal of choice modelling, Elsevier, vol. 6(C), pages 60-73.
  9. KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
  10. J. DeShazo & Trudy Cameron & Manrique Saenz, 2009. "The Effect of Consumers’ Real-World Choice Sets on Inferences from Stated Preference Surveys," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(3), pages 319-343, March.
  11. GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.
  12. KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Applied Economics.
  13. John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.

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