Daganzo C F, Sheffi Y, 1982, "Multinomial probit with time-series data: unifying state dependence and serial correlation models" Environment and Planning A 14(10) 1377 – 1388
Download citation data in RIS format
Multinomial probit with time-series data: unifying state dependence and serial correlation models
C F Daganzo, Y Sheffi
Received 2 August 1981
Abstract. This paper develops a general method for treating discrete data sets containing individuals that have made more than one choice under varying stimuli. The multinomial probit model is shown to possess properties that make it very attractive for this application, as with it, it is possible to develop an estimation process that uses all the information in the data, and is both relatively inexpensive and consistent with utility maximization. The method, which is a generalization of Heckman's binary model, can include taste variations and more than two alternatives.
Full-text PDF size: 1338 Kb
Your computer (IP address: 22.214.171.124) has not been recognised as being on a network authorised to view the full text or references of this article. This content is part of our deep back archive. If you are a member of a university library that has a subscription to the journal, please contact your serials librarian (subscriptions information).