TESTING FOR A UNIT ROOT AGAINST TRANSITIONAL AUTOREGRESSIVE MODELS
By Joon Y. Park, Mototsugu Shintani. 2016
116 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/51e6a926867a4c40392a2c60ba80fe4670479d4b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- F. Bec
- M. Carrasco
- Miguel León-Ledesma
- Mélika Ben Salem
- D. Christopoulos
- Jean-Pierre Florens
- Christian Hansen
- Chien‐Chiang Lee
In Statistics and Probability
- M. Carrasco
- Jean-Pierre Florens
- Juan-Carlos Escanciano
- Arthur Lewbel
- Christian Hansen
- Nathan Kallus
- S. Chen
- S. Bonhomme
Citations in the corpus
- International Output Convergence, Breaks, and Asymmetric Adjustment (2011, background): “In particular in the model suggested by Park and Shintani (2009) the transition parameter determines the speed of transition between two extreme regimes.”
- More Powerful Unit Root Tests with Non-normal Errors (2014, unknown): “Under Assumptions 1 and 2, the RALS estimator ~ R; from (19) is asymptotically equivalent to the GMM estimator ~ G; using the moment conditions (15) and (16).”
- Detecting Mean Reversion in Real Exchange Rates from a Multiple Regime STAR Model (2004, background): “Park and Shintani [2005] derive the asymptotic distribution of a inf-t test for various alternatives including TAR and LSTAR models, however they limit their attention to testing a simple null hypothesis and their results do not directly apply to our setting.”