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Problems Related to Over-identifying Restrictions for Structural Vector Error Correction Models

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Author Info
Helmut Luetkepohl

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Abstract

Structural vector autoregressive (VAR) models are in frequent use for impulse response analysis. If cointegrated variables are involved, the corresponding vector error correction models offer a convenient framework for imposing structural long-run and short-run restrictions. Occasionally it is desirable to impose over-identifying restrictions in this context. Some related problems are pointed out. They result from the fact that the over-identifying restrictions have to be in the admissible parameter space which is not always obvious. Conditions are given that can help in avoiding the problems.

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Paper provided by European University Institute in its series Economics Working Papers with number ECO2005/15.

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Date of creation: 2005
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Handle: RePEc:eui:euiwps:eco2005/15

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Related research
Keywords: Cointegration vector autoregressive process vector error correction model impulse responses

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models

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  1. repec:cup:macdyn:v:5:y:2001:i:1:p:81-100 is not listed on IDEAS
  2. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October. [Downloadable!] (restricted)
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