2022
DOI: 10.1080/10971475.2021.2022838
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Nonparametric Cointegration Tests for Price Convergence within the Greater Bay Area of China

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Cited by 2 publications
(2 citation statements)
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“…Our results of rank tests for PPP in the form of Model II do not suffer the rank problem, which may however exist in the rank test for Model I, where not all ranked series move in the same direction. 6 To avoid the rank problem, Model I is reconfigured by arranging the variables as follows to ensure that all ranked series move in the same direction (Woo et al, 2022):…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our results of rank tests for PPP in the form of Model II do not suffer the rank problem, which may however exist in the rank test for Model I, where not all ranked series move in the same direction. 6 To avoid the rank problem, Model I is reconfigured by arranging the variables as follows to ensure that all ranked series move in the same direction (Woo et al, 2022):…”
Section: Resultsmentioning
confidence: 99%
“…Our results of rank tests for PPP in the form of Model II do not suffer the rank problem, which may however exist in the rank test for Model I, where not all ranked series move in the same direction. To avoid the rank problem, Model I is reconfigured by arranging the variables as follows to ensure that all ranked series move in the same direction (Woo et al, 2022): Model I: pt=β0β1+etβ1+β2β1pt*utβ1. $\text{Model}\unicode{x02007}{\rm{I}}^{\prime} :\unicode{x02007}{p}_{t}=\frac{{-\beta }_{0}}{{\beta }_{1}}+\frac{{e}_{t}}{{\beta }_{1}}+\frac{{\beta }_{2}}{{\beta }_{1}}{p}_{t}^{* }-\frac{{u}_{t}}{{\beta }_{1}}.$…”
Section: Resultsmentioning
confidence: 99%