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Rinus Haaijer

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First Name:Rinus
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Last Name:Haaijer
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RePEc Short-ID:pha68
MuConsult PO Box 2054 3800 CB Amersfoort The Netherlands

Research output

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Working papers

  1. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

Articles

  1. Rinus Haaijer & Edward Rosbergen, 2005. "Comment on market segmentation for customer satisfaction studies via a new latent structure multidimensional scaling model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 21(4‐5), pages 313-314, July.
  2. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.

Chapters

  1. Rinus Haaijer & Michel Wedel, 2007. "Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications," Springer Books, in: Anders Gustafsson & Andreas Herrmann & Frank Huber (ed.), Conjoint Measurement, edition 0, chapter 11, pages 199-229, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.

    Cited by:

    1. Robert Zeithammer & Peter Lenk, 2006. "Bayesian estimation of multivariate-normal models when dimensions are absent," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 241-265, September.
    2. Xuemei Fu, 2021. "How habit moderates the commute mode decision process: integration of the theory of planned behavior and latent class choice model," Transportation, Springer, vol. 48(5), pages 2681-2707, October.
    3. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    4. Karsten Hansen & Vishal Singh & Pradeep Chintagunta, 2006. "Understanding Store-Brand Purchase Behavior Across Categories," Marketing Science, INFORMS, vol. 25(1), pages 75-90, 01-02.
    5. Meijer, E. & Rouwendal, J., 2000. "Measuring welfare effects in models with random coefficients," Research Report 00F25, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Tuck Siong Chung & Roland T. Rust & Michel Wedel, 2009. "My Mobile Music: An Adaptive Personalization System for Digital Audio Players," Marketing Science, INFORMS, vol. 28(1), pages 52-68, 01-02.
    7. Xuemei Fu & Zhicai Juan, 2017. "Accommodating preference heterogeneity in commuting mode choice: an empirical investigation in Shaoxing, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 434-448, May.
    8. Zsolt Sándor & Michel Wedel, 2002. "Profile Construction in Experimental Choice Designs for Mixed Logit Models," Marketing Science, INFORMS, vol. 21(4), pages 455-475, February.
    9. Friederike Paetz & Winfried J. Steiner, 2017. "The benefits of incorporating utility dependencies in finite mixture probit models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 793-819, July.
    10. P. J. Marang-van de Mheen & J. Dijs-Elsinga & W. Otten & M. Versluijs & H. J. Smeets & R. Vree & W. J. van der Made & J. Kievit, 2011. "The Relative Importance of Quality of Care Information When Choosing a Hospital for Surgical Treatment," Medical Decision Making, , vol. 31(6), pages 816-827, November.
    11. Yu-Cheng Ku & Tsun-Feng Chiang & Sheng-Mao Chang, 2017. "Is what you choose what you want?—outlier detection in choice-based conjoint analysis," Marketing Letters, Springer, vol. 28(1), pages 29-42, March.
    12. Sandeep R. Chandukala & Yancy D. Edwards & Greg M. Allenby, 2011. "Identifying Unmet Demand," Marketing Science, INFORMS, vol. 30(1), pages 61-73, 01-02.
    13. B. Larivière & D. Van Den Poel, 2004. "Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/223, Ghent University, Faculty of Economics and Business Administration.
    14. Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Threats’ to and hopes for estimating benefits," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 609-619, June.
    15. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    16. Hildebrandt, Lutz & Kalweit, Lea, 2008. "Measuring changes in preferences and perception due to the entry of a new brand with choice data," SFB 649 Discussion Papers 2008-057, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    17. Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.
    18. Ku, Yu-Cheng & Wu, John, 2018. "Measuring respondent uncertainty in discrete choice experiments via utility suppression," Journal of choice modelling, Elsevier, vol. 27(C), pages 1-18.
    19. Nadarajah, Saralees & Kotz, Samuel, 2009. "Models for purchase frequency," European Journal of Operational Research, Elsevier, vol. 192(3), pages 1014-1026, February.
    20. Paetz, Friederike & Steiner, Winfried J., 2018. "Utility independence versus IIA property in independent probit models," Journal of choice modelling, Elsevier, vol. 26(C), pages 41-47.
    21. Sha Yang & Gerg M. Allenby & Geraldine Fennel, 2002. "Modeling Variation in Brand Preference: The Roles of Objective Environment and Motivating Conditions," Marketing Science, INFORMS, vol. 21(1), pages 14-31, May.
    22. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.

Chapters

  1. Rinus Haaijer & Michel Wedel, 2007. "Conjoint Choice Experiments: General Characteristics and Alternative Model Specifications," Springer Books, in: Anders Gustafsson & Andreas Herrmann & Frank Huber (ed.), Conjoint Measurement, edition 0, chapter 11, pages 199-229, Springer.

    Cited by:

    1. Hyunjoo Lee & Misuk Lee & Sesil Lim, 2018. "Do Consumers Care about the Energy Efficiency of Buildings? Understanding Residential Choice Based on Energy Performance Certificates," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    2. Brian Innes & John Cranfield, 2009. "Consumer preference for production-derived quality: analyzing perceptions of premium chicken production methods," Agribusiness, John Wiley & Sons, Ltd., vol. 25(3), pages 395-411.
    3. Kick, Markus & Littich, Martina, 2015. "Brand and Reputation as Quality Signals on Regulated Markets," EconStor Preprints 182503, ZBW - Leibniz Information Centre for Economics.
    4. Kick, Markus, 2015. "The Price Premium Induced by Branding: A Health Care Case Study," EconStor Preprints 182504, ZBW - Leibniz Information Centre for Economics.
    5. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
    6. Rahel Renata Tanujaya & Chul-Yong Lee & JongRoul Woo & Sung-Yoon Huh & Min-Kyu Lee, 2020. "Quantifying Public Preferences for Community-Based Renewable Energy Projects in South Korea," Energies, MDPI, vol. 13(9), pages 1-13, May.
    7. Kim, Hyunggeun & Park, Sangkyu & Lee, Jongsu, 2021. "Is renewable energy acceptable with power grid expansion? A quantitative study of South Korea's renewable energy acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    8. Moser, Nataliya, 2009. "Untersuchung Der Präferenzen Russischer Fachbesucher Für Ausgewählte Messeleistungen," IAMO Discussion Papers 91768, Institute of Agricultural Development in Transition Economies (IAMO).
    9. Möser, Nataliya, 2009. "Untersuchung der Präferenzen russischer Fachbesucher für ausgewählte Messeleistungen [Analysis of preferences of Russian trade visitors for selected exhibit attributes]," IAMO Discussion Papers 124, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    10. Sung-Yoon Huh & JongRoul Woo & Chul-Yong Lee, 2019. "What Do Potential Residents Really Want When Hosting a Nuclear Power Plant? An Empirical Study of Economic Incentives in South Korea," Energies, MDPI, vol. 12(7), pages 1-17, March.

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