2019
DOI: 10.1016/j.physa.2018.06.060
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Do both demand-following and supply-leading theories hold true in developing countries?

Abstract: , and seven anonymous referees for constructive comments and suggestions that led to a significant improvement of an early manuscript. The third author would like to thank Robert B. Miller and Howard E. Thompson for their continuous guidance and encouragement. This research has been supported by Hang Seng

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Cited by 29 publications
(16 citation statements)
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“…As a note for future studies, a potential nonlinear causality relationship among the variables should be considered (see, for example, Bai et al [58,59] and Chow et al [60]). In addition, advanced diagnostic check (see, for example, Hui et al [61]) should be considered.…”
Section: Methodsmentioning
confidence: 99%
“…As a note for future studies, a potential nonlinear causality relationship among the variables should be considered (see, for example, Bai et al [58,59] and Chow et al [60]). In addition, advanced diagnostic check (see, for example, Hui et al [61]) should be considered.…”
Section: Methodsmentioning
confidence: 99%
“…The nonlinear causality test to the multivariate setting is extended [36,37], and the test is further extended to panel data [38]. Nonlinear Granger causality are also applied by some other scholars [43,44].…”
Section: Nonlinear Granger Causalitymentioning
confidence: 99%
“…Table 9 suggests that a nonlinear Granger causality relationship exists from the first financial development proxy to economic growth proxy for Brazil, Chile, and Peru, while there is causality relationship from economic growth proxy to the first financial development proxy for Chile, Guatemala, and Thailand. On the other hand, Table 10 (reader may refer to Chow, Vieito, and Wong (2018) for Table 10) suggests that a nonlinear Granger causality relationship exists from the second financial development proxy to economic growth proxy for Guatemala, Malaysia, and Turkey, and there is causality relationship from economic growth proxy to the second financial development proxy for Chile, India, Pakistan, Peru, and South Africa.…”
Section: Bivariate Non-linear Granger Causalitymentioning
confidence: 99%
“…We summarize the results of our bivariate linear and nonlinear causality tests in Table 11, reader may refer to Chow, Vieito, and Wong (2018) for Table 11.…”
Section: Bivariate Non-linear Granger Causalitymentioning
confidence: 99%