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Testing for Purchasing Power Parity in Cointegrated Panels

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Listed:
  • Carlsson, Mikael

    (Research Department)

  • Lyhagen, Johan

    (Department of Information Science, Division of Statistics)

  • Österholm, Pär

    (Department of Economics)

Abstract

This paper applies the recently developed maximum-likelihood-panel cointegration method of Larsson and Lyhagen (2007) to test the strong PPP hypothesis during the recent ‡oat period on data for the G7 countries. This method is robust in several important dimensions relative to previous methods, including the well-known issue of cross-sectional dependence of error terms. The findings using this new method are contrasted to those from the Pedroni (1995) cointegration tests and fully modified OLS and dynamic OLS estimators of the cointegrating vectors. Although the shortcomings of previous methods do matter in various cases, the overall results are the same across approaches: The strong PPP hypothesis is forcefully rejected in favor of the weak PPP hypothesis with heterogeneous cointegrating vectors. As a consequence, the strong PPP hypothesis does not even seem to be an acceptable approximation of observed data.

Suggested Citation

  • Carlsson, Mikael & Lyhagen, Johan & Österholm, Pär, 2007. "Testing for Purchasing Power Parity in Cointegrated Panels," Working Paper Series 2008:1, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:2008_001
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    Cited by:

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    2. López, Ramón & Sepúlveda, Kevin A., 2022. "The effects of domestic demand shocks on inflation in a small open economy: Chile in the period 2000–2021," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    3. Škare, Marinko & Porada-Rochoń, Małgorzata, 2023. "Are we making progress on decarbonization? A panel heterogeneous study of the long-run relationship in selected economies," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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    More about this item

    Keywords

    Purchasing Power Parity; Panel Cointegration; Maximum Likelihood; Fully Modified OLS; Dynamic OLS;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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