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
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Englisch
- Bibliographic citation
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Series: Quaderni - Working Paper DSE ; No. 558
- Classification
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Wirtschaft
- Subject
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Theorie
Korrelation
Probit-Modell
- Event
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Geistige Schöpfung
- (who)
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Monfardini, Chiara
Santos Silva, J.M.C.
- Event
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Veröffentlichung
- (who)
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Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
- (where)
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Bologna
- (when)
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2006
- DOI
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doi:10.6092/unibo/amsacta/4729
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
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