A New Test of the Real Interest Rate Parity Hypothesis: Bounds Approach and Structural Breaks
Abstract
We test the real interest rate parity hypothesis using data for the G7 countries over the period 1970-2008. Our contribution is two-fold. First, we utilize the ARDL bounds approach of Pesaran et al. (2001) which allows us to overcome uncertainty about the order of integration of real interest rates. Second, we test for structural breaks in the underlying relationship using the multiple structural breaks test of Bai and Perron (1998, 2003). Our results indicate significant parameter instability and suggest that, despite the advances in economic and financial integration, real interest rate parity has not fully recovered from a breakdown in the 1980s.Download Info
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Paper provided by Scottish Institute for Research in Economics (SIRE) in its series SIRE Discussion Papers with number 2009-23.Length:
Date of creation: 2009
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Handle: RePEc:edn:sirdps:113
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Keywords: real interest rate parity; bounds test; structural breaks;Other versions of this item:
- George Bagdatoglou & Alexandros Kontonikas, 2011. "A New Test of the Real Interest Rate Parity Hypothesis: Bounds Approach and Structural Breaks," Review of International Economics, Wiley Blackwell, vol. 19(4), pages 718-727, 09.
- George Bagdatoglou & Alexandros Kontonikas, 2009. "A New Test of the Real Interest Rate Parity Hypothesis: Bounds Approach and Structural Breaks," Working Papers 2009_17, Business School - Economics, University of Glasgow.
- F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
- F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
References
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