This paper uses the wavelet unit root procedures to explore the validity of the hysteresis hypothesis in unemployment for 28 African countries covering the period 1991 through 2017. In particular, the study applied the wavelet-based unit root tests proposed by Fan and Gencay. The frequency domain procedures of DWT and MODWT involve the decomposition of the variance of the time series stochastic process into the variance in its high and low-frequency series. As a benchmark, the study implemented time domain unit root tests including DF-GLS, Phillips-Perron and KPSS. The standard unit root tests produced mixed results relative to the validity of the hysteresis hypothesis for the sample countries. However, the wavelet-based unit root tests provided more consistent results as the hysteresis hypothesis was rejected in all of the sample countries, save Rwanda. Policy implications are derived from the results.
机构:
Lorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, MalaysiaLorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, Malaysia
Dewandaru, Ginanjar
Masih, Rumi
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Bank New York Mellon Asset Management, One Wall St, New York, NY 10286 USALorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, Malaysia
Masih, Rumi
Masih, A. Mansur M.
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Lorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, MalaysiaLorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, Malaysia
机构:
Lorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, MalaysiaLorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, Malaysia
Dewandaru, Ginanjar
Masih, Rumi
论文数: 0引用数: 0
h-index: 0
机构:
Bank New York Mellon Asset Management, One Wall St, New York, NY 10286 USALorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, Malaysia
Masih, Rumi
Masih, A. Mansur M.
论文数: 0引用数: 0
h-index: 0
机构:
Lorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, MalaysiaLorong Univ A, Global Univ Islamic Finance, INCEIF, Kuala Lumpur 59100, Malaysia