On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks

Lennart F. Hoogerheide, Johan F. Kaashoek and Herman van Dijk

No 1922, LIDAM Reprints CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Date: 2007-01-01
Note: In : Journal of Econometrics, 139, 154-180, 2007
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Related works:
Journal Article: On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: An application of flexible sampling methods using neural networks (2007)
Working Paper: On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: An application of flexible sampling methods using neural networks (2005)
Working Paper: On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks (2005)
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