2023
DOI: 10.1007/s10614-023-10520-1
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Non-linear Cointegration Test, Based on Record Counting Statistic

Lynda Atil,
Hocine Fellag,
Ana E. Sipols
et al.
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Cited by 2 publications
(2 citation statements)
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“…The F-statistic that lies between the two bounds would lead to inconclusive results, necessitating further analysis to determine the order of integration of the variables involved. In cases where the results are inconclusive, the presence of a negative and statistically significant error correction mechanism, as indicated by Smeekes and Wijler [127], Kraft et al [128], and Atil et al [129], can be interpreted as evidence of a long-term relationship among the variables. Utilizing the error correction mechanism enables us to estimate the short-term coefficients, which are detailed in Equation (6).…”
Section: Econometric Modelmentioning
confidence: 99%
“…The F-statistic that lies between the two bounds would lead to inconclusive results, necessitating further analysis to determine the order of integration of the variables involved. In cases where the results are inconclusive, the presence of a negative and statistically significant error correction mechanism, as indicated by Smeekes and Wijler [127], Kraft et al [128], and Atil et al [129], can be interpreted as evidence of a long-term relationship among the variables. Utilizing the error correction mechanism enables us to estimate the short-term coefficients, which are detailed in Equation (6).…”
Section: Econometric Modelmentioning
confidence: 99%
“…( 6), Z t ¼ ðy 0 t D 0 t Þ. Developing estimators for the long-term covariance matrix, a critical component in the implementation of fully modified ordinary least squares, is highlighted in studies by Atil et al (2023), Wagner (2023), Phillips and Kheifets (2024), and Pelagatti and Sbrana (2024). This process is essential for the precision and efficacy of the fully modified ordinary least-squares approach.…”
Section: Variables and Modelmentioning
confidence: 99%