FIML estimation of dynamic econometric systems from inconsistent data
Economic data are typically inconsistent, contain measurement errors and are sometimes unavailable. The paper therefore proposes a bayesian and a generalized least-squares procedure for adjusting the data to satisfy accounting identities, to incorporate subjective views and to recover unobserved dat...
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| Published in: | International journal of systems science Vol. 16; no. 1; pp. 1 - 29 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Taylor & Francis Group
01.01.1985
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| ISSN: | 0020-7721, 1464-5319 |
| Online Access: | Get full text |
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