z-logo
open-access-imgOpen Access
Optimal Fractional Dickey–Fuller tests
Author(s) -
Lobato Ignacio N.,
Velasco Carlos
Publication year - 2006
Publication title -
the econometrics journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.861
H-Index - 36
eISSN - 1368-423X
pISSN - 1368-4221
DOI - 10.1111/j.1368-423x.2006.00195.x
Subject(s) - humanities , history , art
Summary  This article analyzes the fractional Dickey–Fuller (FDF) test for unit roots recently introduced by Dolado, Gonzalo and Mayoral (2002 Econometrica 70 , 1963–2006) within a more general setup. These authors motivate their test with a particular analogy with the Dickey–Fuller test, whereas we interpret the FDF test as a class of tests indexed by an auxiliary parameter, which can be chosen to maximize the power of the test. Within this framework, we investigate optimality aspects of the FDF test and show that the version of the test proposed by these authors is not optimal. For the white noise case, we derive simple optimal FDF tests based on consistent estimators of the true degree of integration. For the serial correlation case, optimal augmented FDF (AFDF) tests are difficult to implement since they depend on the short‐term component. Hence, we propose a feasible procedure that automatically optimizes a prewhitened version of the AFDF test and avoids this problem.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here