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Small sample adjustment for hypotheses testing on cointegrating vectors

Canepa, Alessandra - In: Journal of time series econometrics 14 (2022) 1, pp. 51-85

Persistent link: https://www.econbiz.de/10013260145

Testing for Cointegration in Misspecified Systems - A Monte Carlo Study of Size Distortions

Österholm, Pär - 2003

When dealing with time series that are integrated of order one, the concept of cointegration becomes crucial for the specification of a model. Using the best available tests, one can reduce the probability of estimating econometric models that are misspecified. This paper investigates the small...

Persistent link: https://www.econbiz.de/10010321641

Una prueba simple para regresiones espurias

Noriega, Antonio E.; Ventosa-Santaulària, Daniel - 2011

It has been found that the t-statistic for testing the null of no relationship between two independent variables diverges asymptotically under a wide variety of nonstationary data generating processes. This paper introduces a simple method which guarantees convergence of this t-statistic to a...

Persistent link: https://www.econbiz.de/10010322603

Testing Structural Hypotheses on Cointegration Vectors: A Monte Carlo Study

Eriksson, Åsa - 2004

In this paper, two tests for structural hypotheses on cointegration vectors are evaluated in a Monte Carlo study. The tests are the likelihood ratio test proposed by Johansen (1991) and the test for stationarity proposed by Kwiatkowski et al (1992). The analysis of the likelihood ratio test is...

Persistent link: https://www.econbiz.de/10013208469

Bootstrapping systems cointegration tests with a prior adjustment for deterministic terms

Trenkler, Carsten (contributor) - 2006

In this paper we analyse bootstrap procedures for systems cointegration tests with a prior adjustment for deterministic … the bootstrap test procedures are derived and their small sample properties are studied. The simulation study also … considers the standard asymptotic test versions and the Johansen cointegration test for comparison. -- Bootstrap ; Systems …

Persistent link: https://www.econbiz.de/10003324256

Panel cointegration testing in the presence of a time trend

Droge, Bernd; Örsal, Deniz Dilan Karaman - 2009

The purpose of this paper is to propose a new likelihood-based panel cointegration test in the presence of a linear time trend in the data generating process. This new test is an extension of the likelihood ratio (LR) test of Saikkonen & Lütkepohl (2000) for trend-adjusted data to the panel...

Persistent link: https://www.econbiz.de/10003796158

Critical values for cointegration tests

MacKinnon, James G. - 2010

This paper provides tables of critical values for some popular tests of cointegration and unit roots. Although these tables are necessarily based on computer simulations, they are much more accurate than those previously available. The results of the simulation experiments are summarized by...

Persistent link: https://www.econbiz.de/10003919736

Meta-analytic cointegrating rank tests for dependent panels

Karaman Örsal, Deniz Dilan; Arsova, Antonia - 2015

This paper proposes two new panel cointegrating rank tests which are robust to cross-sectional dependency. The dependence in the data generating process is modeled using unobserved common factors. The new tests are based on a metaanalytic approach, in which the p-values of the individual...

Persistent link: https://www.econbiz.de/10011392830

Testing for stationarity in a cointegrated system

Kunst, Robert M. - 2002

In systems of variables with a specified or already identified cointegrating rank, stationarity of component variates can be tested by a simple restriction test. The implied decision is often in conflict with the outcome of unit root tests on the same variables. Using a framework of Bayes...

Persistent link: https://www.econbiz.de/10009725490

Robustness of the CUSUM and CUSUM-of-squares tests to serial correlation, endogeneity and lack of Structural invariance : some Monte Carlo evidence /

Caporale, Guglielmo Maria; Pittis, Nikitas - 2004

This paper investigates by means of Monte Carlo techniques the robustness of the CUSUM and CUSUM-of-squares tests (Brown et al., 1975) to serial correlation, endogeneity and lack of structural invariance. Our findings suggest that these tests perform better in the context of a dynamic model of...

Persistent link: https://www.econbiz.de/10009728982

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