Identifying long-run behaviour with non-stationary data
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Other versions of this item:
- John Hunter, "undated". "Identifying Long-run Behaviour with Non-stationary Data," Economics and Finance Discussion Papers 98-01, Economics and Finance Section, School of Social Sciences, Brunel University.
References listed on IDEAS
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"Testing weak exogeneity and the order of cointegration in UK money demand data,"
Journal of Policy Modeling, Elsevier, vol. 14(3), pages 313-334, June.
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- Hunter, John, 1992. "Tests of cointegrating exogeneity for PPP and uncovered interest rate parity in the United Kingdom," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 453-463, August.
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Cited by:
- Tabaghdehi, Seyedeh Asieh H. & Hunter, John, 2020. "Long-run price behaviour in the gasoline market - The role of exogeneity," Journal of Business Research, Elsevier, vol. 116(C), pages 620-627.
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More about this item
Keywords
Cointegration; Identification; Identifiability; Order Condition; Sufficient Conditions.;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Statistics
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