Stochastic equicontinuity in nonlinear time series models
In this paper, I provide simple and easily verifiable conditions under which a strong form of stochastic equicontinuity holds in a wide variety of modern time series models. In contrast to most results currently available in the literature, my methods avoid mixing conditions. I discuss several applications in detail.
Year of publication: |
2014
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Authors: | Hagemann, Andreas |
Published in: |
Econometrics Journal. - Royal Economic Society - RES. - Vol. 17.2014, 1, p. 188-196
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Publisher: |
Royal Economic Society - RES |
Saved in:
freely available
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