Local identification in DSGE models

• 成果类型: Article
• 署名作者: Iskrev, Nikolay
• 署名单位: Banco de Portugal
• 刊物名称: JOURNAL OF MONETARY ECONOMICS
• ISSN/ISSBN: 0304-3932
• DOI: 10.1016/j.jmoneco.2009.12.007
• 发表日期: 2010
• 页码: 189-202
• 关键词: DSGE models; identification

摘要

The issue of identification arises whenever, structural models are estimated. Lack of identification means that the empirical implications of some model parameters are either undetectable or indistinguishable from the implications of other parameters. Therefore, identifiability most be verified prior to estimation. This paper provides a simple method for conducting local identification analysis in linearized DSGE models, estimated in both full and limited information settings. In addition to establishing which parameters are locally identified and which are not, researchers call determine whether the identification failures are due to data limitations, Such as lack of observations for some variables, or whether they are intrinsic to the structure of the model. The methodology is illustrated using a medium-scale DSGE model. (C) 2009 Elsevier B.V. All rights reserved.