Festschrift in Honor of Peter Schmidt 2014
DOI: 10.1007/978-1-4899-8008-3_9
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Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework

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Cited by 2,096 publications
(1,546 citation statements)
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“…The J-curve is supported if the normalized coefficients 4 / 1 and 5 / 1 are positive and statistically significant. 5 Shin et al (2014) have shown that the bounds testing procedure of Pesaran et al (2001) is applicable in this case, meaning that we can verify the existence of cointegration by testing the hypothesis that 1 = 2 = 3 = 4 = 5 = 0. In what follows, we report and discuss the empirical results obtained by taking these models to data.…”
Section: Empirical Methodsologymentioning
confidence: 99%
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“…The J-curve is supported if the normalized coefficients 4 / 1 and 5 / 1 are positive and statistically significant. 5 Shin et al (2014) have shown that the bounds testing procedure of Pesaran et al (2001) is applicable in this case, meaning that we can verify the existence of cointegration by testing the hypothesis that 1 = 2 = 3 = 4 = 5 = 0. In what follows, we report and discuss the empirical results obtained by taking these models to data.…”
Section: Empirical Methodsologymentioning
confidence: 99%
“…The nonlinear ARDL model is a model recently developed by Shin et al (2014). Unlike the linear ARDL model developed by Pesaran et al (2001), the nonlinear ARDL model accounts for nonlinearities in the movements of variables.…”
Section: Introductionmentioning
confidence: 99%
“…The popular time series approach for testing asymmetries in all the above studies is the distributed lag model. Accordingly, following Shin et al (2014), a nonlinear asymmetric cointegration technique to test both the long run and short run asymmetries in a coherent way is applied. 5 In particular, the NARDL introduces the short run and long run nonlinearities in the positive and negative partial sum decompositions of the independent variables.…”
Section: The Asymmetric Dynamic Unemployment-output Tradeoff Modelmentioning
confidence: 99%
“…Since the incorrect asymmetry restrictions could jeopardise the identification of the long run relationship and affect the dynamic multipliers (Shin et al, 2014), we need to further confirm the dominance of the output shocks. Thus, Table 5 Table 4, the dynamic asymmetric estimation of the unemployment-output tradeoff in France suggests that both the long run and short run correlation are symmetric.…”
Section: Dynamic Multipliersmentioning
confidence: 99%
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