On likelihood ratios for partially identified models

Open Access
Authors
Publication date 1995
Host editors
  • C.R. McKenzie
Book title Proceedings of the Osaka Econometrics conference
Pages (from-to) 310-328
Publisher Osaka, Japan: Osaka University
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract This paper studies asymptotic properties of likelihood-based estimators and test statistics for models which are partially identified. We concentrate on local or global identification problems which are linked to ("structural") reparameterisations, where the original ("reduced form") parameters are identified. The problem is approached via local asymptotic analysis of likelihood ratio functions. Applications include simultaneous equation models under limited information, testing for cointegration in VAR models, and testing structural hypotheses on cointegrating vectors.
Document type Conference contribution
Downloads
working paper version of publication (Accepted author manuscript)
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