A Simple Encompassing Test for the Deterministic and Bilinear Unit Root Models
نویسندگان
چکیده
منابع مشابه
A New Bayesian Unit Root Test in Stochastic Volatility Models∗
A new posterior odds analysis is proposed to test for a unit root in volatility dynamics in the context of stochastic volatility models. Our analysis extends the Bayesian unit root test of So and Li (1999, Journal of Business and Economic Statistics) in the two important ways. First, a numerically more stable algorithm is introduced to compute Bayes factors, taking into account the special stru...
متن کاملthe relationship between eq, iq and test format: a study on test fairness
the major aim of this study was to investigate the relationship between iq, eq and test format in the light of test fairness considerations. this study took this relationship into account to see if people with different eq and iq performed differently on different test formats. to this end, 90 advanced learners of english form college of ferdowsi university of mashhad were chosen. they were ask...
15 صفحه اولAn Encompassing Test for Non-Nested Quantile Regression Models
We propose an encompassing test for non-nested linear quantile regression models and show that it has an asymptotic χ2 distribution. It is also shown that the proposed test is a regression rank score test in a comprehensive model under conditional homogeneity. Our simulation results indicate that the proposed test performs very well in finite samples. JEL classification: C12, C52
متن کاملA Simple Panel Unit Root Test in the Presence of Cross Section Dependence∗
A number of panel unit root tests that allow for cross section dependence have been proposed in the literature that use orthogonalization type procedures to asymptotically eliminate the cross dependence of the series before standard panel unit root tests are applied to the transformed series. In this paper we propose a simple alternative where the standard ADF regressions are augmented with the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Austrian Journal of Statistics
سال: 2016
ISSN: 1026-597X
DOI: 10.17713/ajs.v34i2.400