search query: @author DeSarbo, W. / total: 9
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| Author: | DeSarbo, W. |
| Title: | A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data |
| Journal: | Journal of Econometrics
1999 : MAR/APR, VOL. 89:1-2, p. 79-108 |
| Index terms: | ECONOMETRICS BAYESIAN STATISTICS SCALING |
| Language: | eng |
| Abstract: | The authors present a new Bayesian formulation of a vector multidimensional scaling procedure for the spatial analysis of binary choice data. The Gibbs sampler is gainfully employed to estimate to posterior distribution of the specified scalar products, bilinear model parameters. The computational procedure allows for the explicit estimation of a covariance matrix which can accomodate violations of IIA due to context effects. In addition, posterior standard errors can be estimated which differential degrees of consumer choice uncertainty. |
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