PURCHASING POWER PARITY THEORY: A CROSS-SECTIONAL DEPENDENCE PANEL DATA ANALYSIS OF SIXTEEN DEVELOPED COUNTRIES

Authors

  • Niri Martha Choji Department of Mathematics, Plateau State University Bokkos, Nigeria
  • Siok Kun Sek School of Mathematical Sciences, Universiti Sains Malaysia, Malaysia

DOI:

https://doi.org/10.32890/jcia2023.2.1.5

Keywords:

Augmented mean group, common correlated effect mean group, pesaran, purchasing power parity, westerlund

Abstract

This paper examined the purchasing power parity (PPP) theory for a group of sixteen developed countries using powerful statistical panel data methods that account for cross-sectional dependence. The paper utilized the Pesaran panel unit root test, the cointegration test of Westerlund, the Augmented Mean Group (AMG) estimator, the Common Correlated Effect Mean Group (CCEMG) estimator, and the panel data Granger non-causality test of Dumitricus and Hurlin to analyze the causal relationships among the variables involved in the study. The tests showed that the PPP theory occurs in this group of countries. Furthermore, outcomes of the long-run estimation revealed both depreciation and appreciation of the nominal exchange rates. Apart from providing important policy implications on the results obtained, this paper made another significant contribution by extending the linear AMG and CCEMG estimators into nonlinear estimators and further used them in examining the long-run PPP theory.

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Published

30-01-2023

How to Cite

Choji , N. M. ., & Sek, S. K. . (2023). PURCHASING POWER PARITY THEORY: A CROSS-SECTIONAL DEPENDENCE PANEL DATA ANALYSIS OF SIXTEEN DEVELOPED COUNTRIES. Journal of Computational Innovation and Analytics (JCIA), 2(1), 89–106. https://doi.org/10.32890/jcia2023.2.1.5