2016
DOI: 10.1080/00036846.2016.1231908
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A wavelet-based panel unit-root test in the presence of an unknown structural break and cross-sectional dependency, with an application of purchasing power parity theory in developing countries

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Cited by 2 publications
(3 citation statements)
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“…These results support the findings of Vo and Vo (2020), which also support the validity of PPP in number of currencies using wavelet technique. It also corroborates the findings of Almasri et al (2017) which has provided strong support for PPP in central American countries by using wavelet panel unit root test.…”
Section: Wavelet Resultssupporting
confidence: 88%
See 1 more Smart Citation
“…These results support the findings of Vo and Vo (2020), which also support the validity of PPP in number of currencies using wavelet technique. It also corroborates the findings of Almasri et al (2017) which has provided strong support for PPP in central American countries by using wavelet panel unit root test.…”
Section: Wavelet Resultssupporting
confidence: 88%
“…The estimated results have shown that inflation rates cause exchange rates in most of the countries in short run. Applying monthly panel data for the period 1970 to 2011, Almasri et al (2017) have investigated the validity of PPP in central American countries by using wavelet panel unit root test. The study has shown strong support for PPP in this developing region.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The purchasing power parity (PPP) theory explains the perfect relationship between the relative inflation rates between the two countries and their exchange rates. To be sure, the PPP theory states that the exchange rate balance will adjust to the magnitude of the difference in inflation rates between the two countries (Almasri et al, 2017). Although PPP remains a valuable concept, there is evidence of considerable deviation from the theory's implementation in the real world (Iyke & Odhiambo, 2017).…”
Section: Purchasing Power Paritymentioning
confidence: 99%