Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/174433 
Year of Publication: 
2016
Series/Report no.: 
Working Papers No. 2016-03
Publisher: 
Banco de México, Ciudad de México
Abstract: 
In this paper I propose a Likelihood Ratio test for a unit root (LR) with a local-to-unity Autoregressive parameter embedded in ARMA(1,1) models. By dealing explicitly with dependence in a time series through the Moving Average, as opposed to the long Autorregresive lag approximation, the test shows gains in power and has good small-sample properties. The asymptotic distribution of the test is shown to be independent of the short-run parameters. The Monte Carlo experiments show that the LR test has higher power than the Augmented Dickey Fuller test for several sample sizes and true values of the Moving Average parameter. The exception is the case when this parameter is very close to -1 with a considerably small sample size.
Subjects: 
Likelihood ratio test
ARMA model
Unit root test
JEL: 
C22
Document Type: 
Working Paper
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