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We consider the finite sample power of various tests against serial correlation in the disturbances of a linear … regression when these disturbances follow a stationary long memory process. It emerges that the power depends on the form of the … the disturbances, the power can drop to zero for certain regressors. We also provide a means to detect this zero-power …
Persistent link: https://www.econbiz.de/10010516924
Long memory and nonlinearity are two key features of some macroeconomic time series which are characterized by persistent shocks that seem to rise faster during recession than it falls during expansion. A variant of nonlinear time series model together with long memory are used to examine these...
Persistent link: https://www.econbiz.de/10011477601
This paper proposes a test for linearity against exponential smooth transition models with endogenous right-hand-side variables: to the very best of our knowledge, this class of models is new to the literature. By Monte Carlo analysis the test is shown to have good finite sample properties
Persistent link: https://www.econbiz.de/10014176554
good size and power properties to distinguish between stationary long memory and ESTAR. Moreover, the second approach is … shown to have more power. -- directed-Wald test ; ESTAR ; long memory …
Persistent link: https://www.econbiz.de/10003877585
power problems, whereas the remaining two areadequate and in fact equivalent. The equivalence between the two valid …
Persistent link: https://www.econbiz.de/10011325661
tests have very respectable power in comparison to the optimal tests for Markov-switching parameters of Carrasco et al …
Persistent link: https://www.econbiz.de/10012923738
tests have very respectable power in comparison to the optimal tests for Markov-switching parameters of Carrasco …
Persistent link: https://www.econbiz.de/10012966691
heteroscedasiticity and autocorrelation consistent (HAC) standard error estimate with the bandwidth equal to the sample size. Using …
Persistent link: https://www.econbiz.de/10014089702
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression coefficients and a probability distribution on...
Persistent link: https://www.econbiz.de/10014050438
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression coefficients and a probability distribution on...
Persistent link: https://www.econbiz.de/10014217553