IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/1602.html
   My bibliography  Save this paper

Ordered logit analysis for selectively sampled data

Author

Listed:
  • Fok, D.
  • Franses, Ph.H.B.F.
  • Cramer, J.S.

Abstract

When customers are classified into ordered categories, which are defined from the outset, it may happen that the majority belongs to a single category. If a market researcher is interested in the correlation between the classification and individual characteristics, the natural question is whether one needs to collect data for all customers in that particular category. We address this question for the ordered logit model. We show that there is no need to consider all those customers. All that is required is a simple modification of the log-likelihood, which is based on Bayes' rule. We illustrate our proposed method on simulated data and on data concerning risk profiles of customers of an investment bank.

Suggested Citation

  • Fok, D. & Franses, Ph.H.B.F. & Cramer, J.S., 1999. "Ordered logit analysis for selectively sampled data," Econometric Institute Research Papers EI 9933/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:1602
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/1602/feweco19990907114919.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jain, Dipak C & Vilcassim, Naufel J & Chintagunta, Pradeep K, 1994. "A Random-Coefficients Logit Brand-Choice Model Applied to Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 317-328, July.
    2. Franses, Ph.H.B.F. & Slagter, E. & Cramer, J.S., 1999. "Censored regression analysis in large samples with many zero observations," Econometric Institute Research Papers EI 9939-A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Veall, Michael R. & Zimmermann, Klaus F., 1992. "Performance measures from prediction- realization tables," Economics Letters, Elsevier, vol. 39(2), pages 129-134, June.
    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. Jana P. Fidrmuc & Alessandro Palandri & Peter Roosenboom & Dick van Dijk, 2013. "When Do Managers Seek Private Equity Backing in Public-to-Private Transactions?," Review of Finance, European Finance Association, vol. 17(3), pages 1099-1139.
    2. Jacek Kotlowski, 2005. "Reaction functions of the Polish central bankers. A logit approach," Working Papers 18, Department of Applied Econometrics, Warsaw School of Economics.

    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. Veneziani, Mario & Sckokai, Paolo & Moro, Daniele, 2012. "Consumers’ willingness to pay for a functional food," 2012 First Congress, June 4-5, 2012, Trento, Italy 124101, Italian Association of Agricultural and Applied Economics (AIEAA).
    2. Chris Forman & Pei-yu Chen, 2003. "Network Effects and Switching Costs in the Market for Routers and Switches," Working Papers 03-03, NET Institute, revised Oct 2003.
    3. Mika Haapanen & Jari Ritsilä, 2001. "Can migration decisions be affected by income taxation policies?," ERSA conference papers ersa01p41, European Regional Science Association.
    4. Bernhard Baumgartner & Daniel Guhl & Thomas Kneib & Winfried J. Steiner, 2018. "Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 837-873, October.
    5. Dennis Fok & Richard Paap & Philip Hans Franses, 2014. "Incorporating Responsiveness to Marketing Efforts in Brand Choice Modeling," Econometrics, MDPI, vol. 2(1), pages 1-25, February.
    6. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    7. Francesco BARTOLUCCI & Silvia BACCI & Claudia PIGINI, 2015. "A Misspecification Test for Finite-Mixture Logistic Models for Clustered Binary and Ordered Responses," Working Papers 410, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Riccardo SCARPA & Fiorenza SPALATRO & Maurizio CANAVARI, 2005. "Investigating Preferences For Environment Friendly Production," Others 0505003, University Library of Munich, Germany.
    9. Desheng Wu, 2017. "Pass-through decision analysis in a supply chain," Annals of Operations Research, Springer, vol. 257(1), pages 297-316, October.
    10. Partha Deb & Furio Rosati, 2002. "Determinants of Child Labor and School Attendance: The Role of Household Unobservables," Economics Working Paper Archive at Hunter College 02/9, Hunter College Department of Economics.
    11. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
    12. Fok, Dennis & Paap, Richard & Franses, Philip Hans, 2012. "Modeling dynamic effects of promotion on interpurchase times," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3055-3069.
    13. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
    14. Margaret Aksoy-Pierson & Gad Allon & Awi Federgruen, 2013. "Price Competition Under Mixed Multinomial Logit Demand Functions," Management Science, INFORMS, vol. 59(8), pages 1817-1835, August.
    15. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.
    16. Sanjog Misra, 2005. "Generalized Reverse Discrete Choice Models," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 175-200, June.
    17. Riccardo Scarpa & George Philippidis & Fiorenza Spalatro, 2005. "Product-country images and preference heterogeneity for Mediterranean food products: A discrete choice framework," Agribusiness, John Wiley & Sons, Ltd., vol. 21(3), pages 329-349.
    18. Timothy J. Richards & Paul M. Patterson & Abebayehu Tegene, 2007. "Obesity And Nutrient Consumption: A Rational Addiction?," Contemporary Economic Policy, Western Economic Association International, vol. 25(3), pages 309-324, July.
    19. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    20. Sergi Jiménez-Martín & Antonio Ladrón de Guevara-Martínez, 2009. "A state-dependent model of hybrid behavior with rational consumers in the attribute space," Investigaciones Economicas, Fundación SEPI, vol. 33(3), pages 347-383, September.

    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:ems:eureir:1602. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.html .

    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.