Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test


Emirmahmutoglu F., OMAY T.

ECONOMIC MODELLING, cilt.40, ss.184-190, 2014 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1016/j.econmod.2014.03.028
  • Dergi Adı: ECONOMIC MODELLING
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.184-190
  • Anahtar Kelimeler: Nonlinear, Panel unit root, Asymmetry, Sieve bootstrap, REAL EXCHANGE-RATES, PURCHASING POWER PARITY, MEAN-REVERSION, DEPENDENCE
  • Ankara Hacı Bayram Veli Üniversitesi Adresli: Hayır

Özet

In this study, we re-examine the PPP hypothesis in the light of the new developments in the unit root testing literature. The recent theoretical findings have pointed out that the real exchange rate series exhibit asymmetric nonlinear behavior. A unit root test applied to analyze the PPP hypothesis therefore, should also take into account this asymmetry inherent in the real exchange rate. Different unit root tests that consider the presence of these data features have been developed in the time series literature. However, a true attempt to test the PPP hypothesis should take a panel data approach. To this end, we propose a nonlinear heterogeneous panel unit root test where the alternative hypothesis allows for symmetric or asymmetric exponential smooth transition autoregressive nonlinearity and provide its finite sample properties. We apply our test to the real exchange rates of the 15 European Union countries against the US dollar. While the results of the linear and symmetric nonlinear heterogeneous panel unit root tests are against the PPP hypothesis, the asymmetric nonlinear heterogeneous panel test that we propose gives support for the PPP hypothesis as expected. Therefore, the conclusions drawn from the linear panel unit root tests or the nonlinear panel unit root tests that do not take asymmetry into account might be misleading. (C) 2014 Elsevier B.V. All rights reserved.