Janczura, Joanna and Weron, Rafal (2010): Goodness-of-fit testing for regime-switching models.
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Abstract
In this paper we propose a novel goodness-of-fit testing scheme for regime-switching models. We consider models with an observable, as well as, a latent state process. The test is based on the Kolmogorov-Smirnov supremum-distance statistic and the concept of the weighted empirical distribution function. We apply the proposed scheme to test whether a 2-state Markov regime-switching model fits electricity spot price data.
Item Type: | MPRA Paper |
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Original Title: | Goodness-of-fit testing for regime-switching models |
Language: | English |
Keywords: | Regime-switching; Goodness-of-fit; Weighted empirical distribution function; Kolmogorov-Smirnov test |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q40 - General |
Item ID: | 22871 |
Depositing User: | Joanna Janczura |
Date Deposited: | 25 May 2010 00:59 |
Last Modified: | 26 Sep 2019 13:56 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/22871 |