Arbeitspapier

What can we learn about correlations from multinomial probit estimates?

It is well known that, in a multinomial probit, only the covariance matrix of the location and scale normalized utilities are identified. In this study, we explore the relation between these identifiable parameters and the original elements of the covariance matrix, to find out what can be learnt about the correlations between the stochastic components of the non-normalized utilities. We show that, in certain circumstances, it is possible to obtain information on these behavioural parameters and define appropriate tools for inference. We illustrate the usefulness of our results in applied settings using an example.

Language
Englisch

Bibliographic citation
Series: Quaderni - Working Paper DSE ; No. 558

Classification
Wirtschaft
Subject
Theorie
Korrelation
Probit-Modell

Event
Geistige Schöpfung
(who)
Monfardini, Chiara
Santos Silva, J.M.C.
Event
Veröffentlichung
(who)
Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
(where)
Bologna
(when)
2006

DOI
doi:10.6092/unibo/amsacta/4729
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Monfardini, Chiara
  • Santos Silva, J.M.C.
  • Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)

Time of origin

  • 2006

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