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Covariate selection for testing purchasing power parity

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  • Cheng-Feng Lee
  • Ching-Chuan Tsong

Abstract

This article employs Hansen's (1995) Covariate Augmented Dickey-Fuller (CADF) test to reexamine the issue of Purchasing Power Parity (PPP) using post-Bretton Woods exchange rate data for 20 industrialized countries. Instead of just using a single covariate as in the literature, we implement the test by using Bai and Ng's (2002) method to choose suitable stationary covariates. Our empirical results show that the real exchange rates generally display long-run mean reversion and support PPP, as contrasted with those obtained in Amara and Papell (2006) that less rejections of unit root hypothesis are made with the same test. The panel unit root test suggested by Chang (2004) is also performed to justify our results.

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  • Cheng-Feng Lee & Ching-Chuan Tsong, 2011. "Covariate selection for testing purchasing power parity," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1923-1933.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:15:p:1923-1933
    DOI: 10.1080/00036840902837100
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    Cited by:

    1. Yang, Yang & Zhao, Zhao, 2020. "Quantile nonlinear unit root test with covariates and an application to the PPP hypothesis," Economic Modelling, Elsevier, vol. 93(C), pages 728-736.
    2. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    3. Kaddour Hadri & Eiji Kurozumi & Daisuke Yamazaki, 2015. "Synergy between an Improved Covariate Unit Root Test and Cross-sectionally Dependent Panel Data Unit Root Tests," Manchester School, University of Manchester, vol. 83(6), pages 676-700, December.
    4. Eiji Kurozumi & Daisuke Yamazaki & Kaddour Hadri, 2012. "Covariate Unit Root Test for Cross-Sectionally Dependent Panel Data," Global COE Hi-Stat Discussion Paper Series gd12-256, Institute of Economic Research, Hitotsubashi University.

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