Sensitivity of Simulation Results to Competing SAM Updates
Recently there has been a renewed research interest in the properties of non survey updates of input-output tables and social accounting matrices (SAM). Along with the venerable and well known scaling RAS method, several alternative new procedures related to entropy minimization and other metrics ha...
| Authors: | , |
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| Format: | article |
| Publication Date: | 2004 |
| Country: | España |
| Institution: | Universidad Loyola Andalucía |
| Repository: | Brújula |
| OAI Identifier: | oai:repositorio.uloyola.es:20.500.12412/3941 |
| Online Access: | https://hdl.handle.net/20.500.12412/3941 |
| Access Level: | Open access |
| Keyword: | Social Accounting Matrices Input-output Non-survey updating techniques Applied General Equilibrium Regional policy analysis Evaluation of simulation results |
| Summary: | Recently there has been a renewed research interest in the properties of non survey updates of input-output tables and social accounting matrices (SAM). Along with the venerable and well known scaling RAS method, several alternative new procedures related to entropy minimization and other metrics have been suggested, tested and used in the literature. Whether these procedures will eventually substitute or merely complement the RAS approach is still an open question without a definite answer. The performance of many of the updating procedures has been tested using some kind of proximity or closeness measure to a reference input-output table or SAM. The first goal of this paper, in contrast, is the proposal of checking the operational performance of updating mechanisms by way of comparing the simulation results that ensue from adopting alternative databases for calibration of a reference applied general equilibrium model. The second goal is to introduce a new updating procedure based on information retrieval principles. This new procedure is then compared as far as performance is concerned to two well-known updating approaches: RAS and cross-entropy. The rationale for the suggested cross validation is that the driving force for having more up to date databases is to be able to conduct more current, and hopefully more credible, policy analyses. |
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