Results 11 to 20 of about 67,836 (307)
On the robustness of cointegration tests when series are fractionally integrated [PDF]
This paper shows, analytically and numerically, the effects of a misspecification in the degree of integration on testing for cointegration. Johansen LR tests tend to find too much spurious cointegration while the Engle-Granger test shows a more robust ...
Gonzalo, Jesús, Lee, Tae-Hwy
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Comparison of Panel Cointegration Tests [PDF]
The main aim of this paper is to compare the size and size-adjusted power properties of four residual-based and one maximum-likelihood-based panel cointegration tests with the help of Monte Carlo simulations.
Deniz Dilan Karaman Örsal
core +5 more sources
The Power of Cointegration Tests. [PDF]
A cointegration test statistic based upon estimation of an error correction model can be approximately normally distributed when no cointegration is present. By contrast, the equivalent Dickey-Fuller statistic applied to residuals from a static relationship has a non-standard asymptotic distribution. When cointegration exists, the error-correction test
Dolado, Juan José +2 more
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Combining non‐cointegration tests [PDF]
The local power of many popular non‐cointegration tests has recently been shown to depend on a certain nuisance parameter. Depending on the value of that parameter, different tests perform best. This paper suggests combination procedures with the aim of providing meta tests that maintain high power across the range of the nuisance parameter.1 We ...
Bayer, Christian, Hanck, Christoph
openaire +5 more sources
Garch effects on a test of cointegration [PDF]
This article discusses the effects of GARCH type error processes on the use of the Engle and Granger cointegration test for two variables. Simulation results indicate that (nearly) integrated GARCH processes, as well as GARCH processes that are not covariance stationary, change the critical values.
Franses, Philip Hans +2 more
openaire +1 more source
Consistent Testing of Cointegrating Relationships [PDF]
In this paper we investigate methods for testing the existence of a cointegration relationship among the components of a nonstationary fractionally integrated (NFI) vector time series. Our framework generalizes previous studies restricted to unit root integrated processes and permits simultaneous analysis of spurious and cointegrated NFI vectors.
Francesc, Marmol, Velasco, Carlos
openaire +2 more sources
Diagnostic testing for cointegration [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A note on the power of panel conitegration tests - An application to health care expenditure and GDP [PDF]
This paper enlarges on Gutierrez's (2003) results on the power of panel cointegration tests. By a comparison of power of panel cointegration tests, we show how the choice of most powerful test depends on the values ...
MARINI, GIORGIA
core +2 more sources
April, 2011. The excitement in streets is the sign that a major event for the future of the country gets ready: Raoul Castro convened the meeting of the 6th congress of the Cuban Communist Party.
Jessica Mixhe
doaj +1 more source
Cointegration and Unit Root Tests: A Fully Bayesian Approach
To perform statistical inference for time series, one should be able to assess if they present deterministic or stochastic trends. For univariate analysis, one way to detect stochastic trends is to test if the series has unit roots, and for multivariate ...
Marcio A. Diniz +2 more
doaj +1 more source

