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Martins, L. F. (2009). Unit root tests and dramatic shifts with infinite variance processes. Journal of Applied Statistics. 36 (5), 547-571
L. F. Martins, "Unit root tests and dramatic shifts with infinite variance processes", in Journal of Applied Statistics, vol. 36, no. 5, pp. 547-571, 2009
@article{martins2009_1766456312014,
author = "Martins, L. F.",
title = "Unit root tests and dramatic shifts with infinite variance processes",
journal = "Journal of Applied Statistics",
year = "2009",
volume = "36",
number = "5",
doi = "10.1080/02664760802554321",
pages = "547-571",
url = "http://www.tandfonline.com/doi/full/10.1080/02664760802554321"
}
TY - JOUR TI - Unit root tests and dramatic shifts with infinite variance processes T2 - Journal of Applied Statistics VL - 36 IS - 5 AU - Martins, L. F. PY - 2009 SP - 547-571 SN - 0266-4763 DO - 10.1080/02664760802554321 UR - http://www.tandfonline.com/doi/full/10.1080/02664760802554321 AB - A model which explains data that is subject to sudden structural changes of unspecified nature is presented. The structural shifts are generated by a random walk component whose innovations belong to the normal domain of attraction of a symmetric stable law. To test the model against the stationarity case, several non-parametric, and regression-based statistics are studied. The non-parametric tests are a generalization of the variance ratio test to innovations with heavy-tailed distributions. The tests are consistent and shown to have good finite sample size and power properties and are applied to a set of economic variables. ER -
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