Consistency and Limiting Distribution of the Least Squares Estimator of a Threshold Autoregressive Model
Chan, K. S.
Ann. Statist., Tome 21 (1993) no. 1, p. 520-533 / Harvested from Project Euclid
It is shown that, under some regularity conditions, the least squares estimator of a stationary ergodic threshold autoregressive model is strongly consistent. The limiting distribution of the least squares estimator is derived. It is shown that the estimator of the threshold parameter is N consistent and its limiting distribution is related to a compound Poisson Process.
Publié le : 1993-03-14
Classification:  Compound Poisson process,  consistency,  ergodicity,  least squares estimation,  limiting distribution,  threshold autoregressive models,  62M10,  62J05
@article{1176349040,
     author = {Chan, K. S.},
     title = {Consistency and Limiting Distribution of the Least Squares Estimator of a Threshold Autoregressive Model},
     journal = {Ann. Statist.},
     volume = {21},
     number = {1},
     year = {1993},
     pages = { 520-533},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176349040}
}
Chan, K. S. Consistency and Limiting Distribution of the Least Squares Estimator of a Threshold Autoregressive Model. Ann. Statist., Tome 21 (1993) no. 1, pp.  520-533. http://gdmltest.u-ga.fr/item/1176349040/