We describe a test, based on the correlation integral, for the independence of a variable and a vector that can be used with serially dependent data. Monte Carlo simulations suggest that the test has good power to detect dependence in several models, performing nearly as well or better than the BDS
A general test for time dependence in parameters
β Scribed by Ralf Becker; Walter Enders; Stan Hurn
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 121 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.751
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β¦ Synopsis
Abstract
A new test for timeβdependent parameters is proposed. The Trigβtest is based on a trigonometric expansion to approximate the unknown functional form of the variation in the parameters concerned. It is shown to have the correct empirical size and excellent power to detect structural breaks and stochastic parameter variation. The appropriate use of the Trigβtest is demonstrated by testing for structural breaks in the US inflation rate. The test detects a statistically significant increase in the US inflation rate beginning in the early 1970s and lasting through to the early 1980s. Copyright Β© 2004 John Wiley & Sons, Ltd.
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