It is well known that, in a multinomial probit, only the covariance matrix of the location and scale normalized utilities are identified. In this note, 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.
C. Monfardini, J.M.C. Santos Silva (2008). What Can We Learn about Correlations from Multinomial Probit Estimates?. ECONOMICS BULLETIN, 3, 28, 1-9.
What Can We Learn about Correlations from Multinomial Probit Estimates?
MONFARDINI, CHIARA;
2008
Abstract
It is well known that, in a multinomial probit, only the covariance matrix of the location and scale normalized utilities are identified. In this note, 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.File in questo prodotto:
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