IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v154y2004i1p144-149.html
   My bibliography  Save this article

A model for multiple brand choice

Author

Listed:
  • Baltas, George

Abstract

No abstract is available for this item.

Suggested Citation

  • Baltas, George, 2004. "A model for multiple brand choice," European Journal of Operational Research, Elsevier, vol. 154(1), pages 144-149, April.
    • Handle: RePEc:eee:ejores:v:154:y:2004:i:1:p:144-149
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(02)00654-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    2. repec:cdl:econwp:qt3tb6j874 is not listed on IDEAS
    3. repec:cdl:uctcwp:qt3tb6j874 is not listed on IDEAS
    4. 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.
    5. George Baltas, 2002. "An applied analysis of brand demand structure," Applied Economics, Taylor & Francis Journals, vol. 34(9), pages 1171-1175.
    6. repec:cdl:uctcwp:qt1j6814b3 is not listed on IDEAS
    7. Kimhi, Ayal, 1999. "On the Tradeoff between Computational Simplicity and Asymptotic Properties in Multivariate Probit," Computational Economics, Springer;Society for Computational Economics, vol. 13(1), pages 93-101, February.
    8. McFadden, Daniel & Ruud, Paul A, 1994. "Estimation by Simulation," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 591-608, November.
    9. Baourakis, G. & Matsatsinis, N. F. & Siskos, Y., 1996. "Agricultural product development using multidimensional and multicriteria analyses: The case of wine," European Journal of Operational Research, Elsevier, vol. 94(2), pages 321-334, October.
    10. Manrai, Ajay K., 1995. "Mathematical models of brand choice behavior," European Journal of Operational Research, Elsevier, vol. 82(1), pages 1-17, April.
    11. repec:cdl:econwp:qt1j6814b3 is not listed on IDEAS
    12. G Baltas & P Doyle, 1998. "An empirical analysis of private brand demand recognising heterogeneous preferences and choice dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 49(8), pages 790-798, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoping Li & Yan Yan & Liuyang Yao, 2020. "‘Get a Fish’ vs. ‘Get a Fishing Skill’: Farmers’ Preferred Compensation Methods to Control Agricultural Nonpoint Source Pollution," IJERPH, MDPI, vol. 17(7), pages 1-13, April.
    2. Luo, Zheng & Chen, Xu & Chen, Jing & Wang, Xiaojun, 2017. "Optimal pricing policies for differentiated brands under different supply chain power structures," European Journal of Operational Research, Elsevier, vol. 259(2), pages 437-451.
    3. Taha Hossein Rashidi & Matthew J. Roorda, 2018. "A business establishment fleet ownership and composition model," Transportation, Springer, vol. 45(3), pages 971-987, May.
    4. Jae Young Choi & Yeonbae Kim & Yungman Jun & Yunhee Kim, 2009. "A Multivariate Probit Analysis of Korean Firms Information System Adoption: An Empirical Analysis on the Determinants of the Adoption and Complementarity Among the Information Systems," TEMEP Discussion Papers 200926, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    5. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    6. Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
    7. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
    8. Kalouptsidis, N. & Koutroumbas, K. & Psaraki, V., 2007. "Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1778-1794, February.
    9. Pancras, Joseph, 2011. "The nested consideration model: Investigating dynamic store consideration sets and store competition," European Journal of Operational Research, Elsevier, vol. 214(2), pages 340-347, October.
    10. Yanan Yu & Yong He & Xuan Zhao & Li Zhou, 2022. "Certify or not? An analysis of organic food supply chain with competing suppliers," Annals of Operations Research, Springer, vol. 314(2), pages 645-675, July.
    11. Jungwoo Shin & Chang Seob Kimi & Jongsu Lee, 2009. "Model for Studying Commodity Bundling with a Focus on Consumer Preference," TEMEP Discussion Papers 200934, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    12. He, X. & Reiner, D., 2018. "Consumer Engagement in Energy Markets: The Role of Information and Knowledge," Cambridge Working Papers in Economics 1867, Faculty of Economics, University of Cambridge.
    13. Koo, Yoonmo & Lim, Sesil & Kim, Kayoung & Cho, Youngsang, 2014. "Analysis of user characteristics regarding social network services in South Korea using the multivariate probit model," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 232-240.
    14. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    2. Maruyama, Shiko, 2014. "Estimation of finite sequential games," Journal of Econometrics, Elsevier, vol. 178(2), pages 716-726.
    3. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    4. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    5. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    6. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2014. "Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 142-158.
    7. Marco A. Palma & Dmitry V. Vedenov & David Bessler, 2020. "The order of variables, simulation noise, and accuracy of mixed logit estimates," Empirical Economics, Springer, vol. 58(5), pages 2049-2083, May.
    8. Islam, Mouyid, 2015. "Multi-Vehicle Crashes Involving Large Trucks: A Random Parameter Discrete Outcome Modeling Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(01).
    9. Joel L. Horowitz & Lars Nesheim, 2018. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," CeMMAP working papers CWP29/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. repec:cdl:uctcwp:qt9w1988t7 is not listed on IDEAS
    11. Vassilis Argyrou Hajivassiliou, 1993. "Simulating Normal Rectangle Probabilities and Their Derivatives: The Effects of Vectorization," Working Papers _025, Yale University.
    12. Schmidheiny, Kurt, 2006. "Income segregation and local progressive taxation: Empirical evidence from Switzerland," Journal of Public Economics, Elsevier, vol. 90(3), pages 429-458, February.
    13. Juan Carlos Leyva López & Jesús Jaime Solano Noriega & Omar Ahumada Valenzuela & Alma Montserrat Romero Serrano, 2022. "A preference choice model for the new product design problem," Operational Research, Springer, vol. 22(4), pages 1-32, September.
    14. William Greene, 2004. "Convenient estimators for the panel probit model: Further results," Empirical Economics, Springer, vol. 29(1), pages 21-47, January.
    15. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R., 2008. "Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3697-3708, March.
    16. Joel L. Horowitz & N. E. Savin, 2001. "Binary Response Models: Logits, Probits and Semiparametrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 43-56, Fall.
    17. Matsatsinis, Nikolaos F. & Siskos, Yannis, 1999. "MARKEX: An intelligent decision support system for product development decisions," European Journal of Operational Research, Elsevier, vol. 113(2), pages 336-354, March.
    18. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    19. repec:cdl:uctcwp:qt7kv5f17n is not listed on IDEAS
    20. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    21. Gould, Brian W. & Dong, Diansheng, 2000. "The Decision Of When To Buy A Frequently Purchased Good: A Multi-Period Probit Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-17, December.
    22. Horowitz, Joel L. & Nesheim, Lars, 2021. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," Journal of Econometrics, Elsevier, vol. 222(1), pages 44-55.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:154:y:2004:i:1:p:144-149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.