• Graduate program
    • Why Tinbergen Institute?
    • Research Master
    • Admissions
    • Course Registration
    • Facilities
    • PhD Vacancies
    • Selected PhD Placements
    • Research Master Business Data Science
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Gender in Society
      • Machine Learning for Business
      • Marketing Research with Purpose
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 16th Tinbergen Institute Annual Conference
    • Annual Tinbergen Institute Conference
  • News
  • Alumni

van Ophem, J.C.M., Stam, P. and van Praag, B.M.S. (1999). Multichoice logit: modeling incomplete preference rankings of classical concerts Journal of Business and Economic Statistics, 17(1):117--128.


  • Affiliated authors
    Hans van Ophem, Bernard van Praag
  • Publication year
    1999
  • Journal
    Journal of Business and Economic Statistics

In this article we develop an econometric model to analyze data on incomplete information on preferences. The available information consists of groups of alternatives that are preferred to other groups of alternatives. Only for the most preferred group is a full ranking observed. The resulting model is estimated on data concerning preferences on classical concerts.